SlideShare une entreprise Scribd logo
1  sur  68
Overcoming Constraints and
Challenges in Power System
Management and Network Growth




Big Data in Management of Smart Grids
Presented at the 3rd Annual Indonesia Power Conference 27th to 30th
November 2012, Jakarta, Indonesia

Dr Himadri Banerji, Ex Chief Executive Reliance Energy Ltd India
& MD EcoUrja
Overcoming Constraints and Challenges in Power System
             Management and Network Growth

Session Objectives

                                          long-
• Determining minimum cost strategies for long-range expansion of generation,
transmission and distribution systems

• Supplying load forecast within a set of technical, economic and political restraints

• Studying electric load forecast, load growth and regional disparities

• Perspectives in evolution in technology in generation, transmission and
distribution

• Assimilation of renewable energy etc network topology and modelling

• System design options with economics and cost benefit analysis



                                                    2
Utility business processes operating as separate legal entities in a deregulated
environment. (Courtesy of ABB.)


                                                                                   3
Drivers for Total Network Investment

                Approach to T&D Network Planning




Schematic diagram of transmission and distribution networks

                                               4
Drivers for Total Network Investment


             Approach to T&D Network Planning

                 The Mission Statement
1. "Our company will be the premium regional provider of
electric power.“ Recognizing that its current financial
situation prohibits competing on the basis of price, this utility
has decided to make quality and service its hallmark.
Achieving lowest possible cost is not the goal; achieving low
cost while meeting high service standards.

2. "Provide economical electric power for the prosperity of
the region.“ This utility has a long-standing tradition of low
rates, a way of attracting new industry (i.e. growth) to the
region. Plans that invest a good deal to improve quality are
simply "not with the program.“ Marginal quality
improvements in a new plan are permissible, only if they
lead to lower cost.


                                            5
Drivers for Total Network Investment


                      Approach to T&D Network Planning

                         The Mission Statement

3. "... maximize return on equity.“ This criterion means the utility wants to
earn the most on what it currently owns. Utilization of existing T&D facilities
is the key. This utility is more reluctant to invest by borrowing than a utility
that wants to maximize return on investment. Plans that call for massive
capital
spending may be unacceptable.

4. "... maximize return on investment.“ This mission makes no direct
distinction between equity and debt - apparently the utility is willing to
borrow, if it increases what it can earn on that investment. A plan calling for
considerable capital outlay is permissible, if that investment yields a good
return



                                                     6
Drivers for Total Network Investment



             Implementing Renewable Energy Directive

In order to reach the 15% overall energy target, the RES suggests
that:

More than 30% of electricity is to be generated from renewable
sources; 12% of heat is to be generated from renewable sources
such as biomass, solar and heat pump sources in homes and
businesses; 10% of transport energy is to come from renewable
sources.

The RES recognises that increasing generation from renewable will
have implications for grid investment, grid technology and grid
connection policy. All of these issues have the ability to impact on
T&D‟s investment plans.




                                                7
Approach to analysis of integrating renewables




  Approach to analysis of integrating renewables


                              8
VCC-
Example of VCC-HVDC transmission for a Wind Turbine Integration


                                       9
Major Challenges



Security of electricity supply

Society is becoming more and more dependent on reliable and high-
quality electricity supply.

The power industry around the world continues to face an ever
changing technological and regulatory environment.


As a result of the efforts to combat climate change, deployments of
wind, solar, tidal, wave and other power generators with variable and
less certain power output are being installed and will continue to be
installed on a large scale.



                                          10
Drivers for Total Network Investment


                Approach to T&D Network Planning



Planning is a process of determining the best course of action or
schedule of commitments that can be made to achieve one's goals.

The planning process can be segmented into the five steps shown in
next slide.

Each one is an important part of the process for planning in any type
of industry, but in particularly utility T&D planning.




                                              11
Drivers for Total Network Investment


                              Approach to T&D Network Planning
                             Approach to T&D Network Planning



Steps                                              Description
                                                   •Explicitly define the range of application and its
                                                     Explicitly
•Identify the problem
 I                                                 limits.

•Determine the goals
 Determine                                         •What goals are to be achieved?
                                                    What


•Identify the alternatives
 Identify      lternatives                         •What is to be minimized? What options are
                                                    What
                                                   available?

•Evaluate the Alternatives
 Evaluate                                          •Evaluate all the options on a sound basis.
                                                    Evaluate


•Select the Best Alternatives
 Select                                            •S elect the option that best satisfies the goals
                                                    S
                                                   with respect to the problem.

•Final plan
 Final




                                                          12
Drivers for Total Network Investment


                           Approach to T&D Network Planning
           Some Typical Criteria and Costs Evaluated in Electric System Planning
Criteria                                          Attributes


Voltage standards                                 Cost of equipment
Noise and emissions limitations                   Cost of land and ROW
Safety and clearance standards                    Cost of labour and construction
Electrical and fire protection                    Cost of taxes, insurance, etc.
standards                                         Cost of design and engineering
Pollutant/toxicity material restrictions          Cost for maintenance and operations
Aesthetic impact and standards                    Cost of losses
Maintenance access requirements                   Cost of permits, licenses, etc.
Equipment loading standards                       Flexibility in future design
Contingency margin requirements                   Salvage cost (at end of life)
Equipment loading standards                       Fuel & fuel delivery cost
Construction method requirements

                                                          13
Drivers for Total Network Investment



              SHORT-
              SHORT-AND LONG-RANGE PLANNING
                        LONG-

                             Lead-
                             Lead-time


- the time it takes to prepare, build, and install facilities - sets
the minimum planning period for any endeavor. If it takes up
to five years to order materials, obtain permits, survey, build,
test, and put into service a new substation in the core of a
major metropolitan area, then the power distribution utility
has no choice but to plan at least five years ahead in order to
make certain it will have all new substations by the time they
are needed




                                            14
Drivers for Total Network Investment


Typical Minimum Lead Times at Various Levels of the Electric Utility Power System
  Level                                               Years

  Central Station Generation                          10
  EHV Transmission (>500 kV)                          9
  Transmission                                        8
  Sub-transmission (< 140 kV)                         7
  Primary Distribution Substations                    5
  Primary Voltage Feeders                             3
  Rebuilding existing substations                     2
  Rebuilding existing lines – UG                      2
  Rebuilding existing lines – OH                      1
  Lateral primary voltage taps, changes               1
  Distributed generation (> 10 MVA)                   2
  Distributed Generation (10-1 MVA)                   1
  Dispersed generation (< 1 MVA)                      4
  Service level                                       2

                                                       15
Drivers for Total Network Investment

                SHORT-
                SHORT-AND LONG-RANGE PLANNING
                          LONG-


The "short-range plan" is a schedule of additions, enhancements,
reinforcements and changes that are to be made to the system
and that have been authorized and committed.

Although there is always some recourse in any plan, the short
range plan is composed of decisions which have, in effect, been
"locked in."

As such, it tends to be very "project oriented," as shown in next
slide.




                                               16
Drivers for Total Network Investment


                   SHORT-
                   SHORT-AND LONG-RANGE PLANNING
                             LONG-


The short-range planning process leads, ultimately, to a series of separately
identifiable Project authorizations, each committing to a Particular addition(s)
to the system, with its own
                  scope of work
                  schedule,
                  budget
                  justification.
These project authorizations are the hand off from the
planning process to the engineering and construction process.




                                                 17
SHORT-
         SHORT-AND LONG-RANGE PLANNING
                   LONG-


Load forecast                           Existing system
        lead-
for the lead-time                       & planned additions
year(s)                                          lead-
                                        through lead-time

               Drivers for Total Network Investment



                     Short-range
                     Planning process




                    Identified area
                    capacity shortfalls
                    and solutions



                                        18
Drivers for Total Network Investment


           SHORT-
           SHORT-AND LONG-RANGE PLANNING
                     LONG-

   Long-range Planning: Focus on Reducing Cost


Long-range planning focuses on making certain that the
equipment and facilities called for in the short-range
plan provide lasting value and the lowest overall cost
during their lifetime, unlike short-range planning, which
seeks to identify
problems and solve them before they occur.

The reason to look beyond the lead-time, and to plan
for the long run, is to assure the decisions being made
have the most lasting value




                                        19
Drivers for Total Network Investment



                       The Allowable Returns Sample of a Utility




    Post Tax Returns

Utility has forecast its capital expenditure requirements for the duration of
Regulatory Period. Tax allowances will depend on the nature of this expenditure
and Utility has provided a forecast of the likely categories which the expenditure
will fall into for tax purposes. The level of tax allowances will follow Government
Customs and Revenue rules. Utility will be required to furnish the Authority on an
annual basis with a tax return against which it can compare actual taxation with
Utility’s forecast. Such information will also inform the Authority of how to treat
taxation at the time of the next price control review.

                                                      20
Drivers for Total Network Investment


                                 Smart Programs


•Smart 1 includes projects such as solar water heating, biomass generation
 Smart
and heating, small scale wind generation and tidal generation, and seeks to
stimulate near market renewable technologies through the funding of
programmes of renewable installations.

•Through the Smart 2 programme, Utility has sought to encourage, identify and
 Through             programme,
support renewable energy and energy efficient alternatives to conventional
network reinforcement.




                                                   21
Drivers for Total Network Investment


                                  Smart Programs



Support, through funding, for a range of renewable installation programmes and for
a small number of higher-value renewable projects
(Where a renewable based alternative to conventional network reinforcement is
confirmed and the support mechanism can be capitalised, it would be funded from
T&D network capital investment plan at a 1% (pre tax) additional rate of return).

Utility envisages establishing a Protected Customers Fund that would finance
projects specifically targeted at combating fuel poverty by assisting low income
households to access available grants and social benefits.




                                                     22
Drivers for Total Network Investment

      Smart Programs




                         23
Estimation of Total Network Investment




Combining the network investment arising from new demand, ageing
infrastructure, and additional costs associated with renewable gives the total
annual investment in electricity networks for each region:




                                             24
T&D Costs of an Electric Utility for a Regulatory Period




                                25
Drivers for Total Network Investment
                              Annual Revenue Requirement



A regulated company incurs both operating and capital costs, including finance
costs. Under the current price control, a formula within the utility's T&D‟s licence
determines the amount of revenue which the company can raise in year t in
respect of its operating and capital costs, including a return and depreciation. The
formula is:
MDt = COt-5 + Pt-5 + UOt + (RABt x CoCt) + Taxt+ Dept + CoLt + Dt + Kt16
        COt-     Pt-
Where:
MDt is the maximum regulated T&D revenue
COt-5 is the actual controllable operating expenditure (Opex) five years earlier
(excluding pensions costs and after making the one-off adjustments, RPI indexed
to the year t price base;
P t-5 is the amount of pensions costs paid five years earlier (less a disallowance
in respect of early retirement deficiency costs), RPI indexed to the year t price
base;
UOt is the actual uncontrollable Opex in year t in nominal prices;



                                                       26
Drivers for Total Network Investment
                           Annual Revenue Requirement




RABt is the average regulatory asset base (RAB) for year t in nominal prices;
CoCt is the allowed cost of capital;
Note: CoCt is also referred to as the WACC and RABt x CoCt is known as
the „Return on RAB‟
Taxt is the allowance for tax costs;
Dept is the RAB depreciation allowance;
CoLt is revenue adjustments arising under the change of law provisions;
Dt is revenue adjustments arising from assessed capital expenditure (Capex)
efficiency gains or losses and revenue due under SMART programmes. Any
costs in this category require regulatory approval.
Kt is the correction factor due to over/under recoveries




                                                    27
Managing Constraints in
T&D Network Expansion

        Chasing Higher IRRs
    Big Data and Enterprise GIS
Expectations of Power Utility



 Improve revenue by improving ‘ENS’ ( Energy Not Served).
 Improve performance by improving SAIFI, SAIDI.
 Improving ‘Customer Complaints’ logs in Trouble Call Management.
 Long-standing faults brought to a minimum.
 Limiting number of interruption per day a) Breakdown b) Preventive
Maintenance c) Load-shedding.
Expectations of Power Utility


Good collection & billing System.

To reduce Outage Time.

To stop Power theft.

To provide better services to the consumers.

To have stabilized Asset Management System.

Safety- Zero fatality rate.
On August 14, 2003, large portions of the Midwest
and Northeast United States and Ontario, Canada,
experienced an electric power blackout. The outage
    affected an area with an estimated 50 million
   people and 61,800 megawatts (MW) of electric
load in the states of Ohio, Michigan, Pennsylvania,
 New York, Vermont, Massachusetts, Connecticut,
   and New Jersey and the Canadian province of
  Ontario. The blackout began a few minutes after
  4:00 pm Eastern Daylight Time (16:00 EDT), and
power was not restored for 2 days in some parts of
 the United States. Parts of Ontario suffered rolling
  blackouts for more than a week before full power
                    was restored.
Relational database (RDB)        Rise to prominent use by utilities




However failure of traditional databases like RDBs to scale well in the face of rising
data volumes, complexity, and speed has been well proven, with alternative
technologies often outperforming them by more



                   Object-oriented databases (ODB) and
                   emerging NoSQL technologies, HADOOP,
“Big Data”

is typically considered to be a data collection that has grown so large
it can’t be effectively or affordably managed (or exploited) using
conventional data management tools: e.g., classic relational
database management systems (RDBMS) or conventional
search engines, depending on the task at hand.

This can as easily occur at 1 terabyte as at 1 petabyte, though most
discussions concern collections that weigh in at several terabytes
at least.
situational
                                                  having an
awareness                    in real-time         understanding of
means

                                            what you need to
                                            know,
                                            have control of &
                                            conduct analysis for


      If you have these                     to identify anomalies
  things, making the right                  in normal patterns or
    decision in the right                   behaviours that can
   amount of time in any                    affect the outcome of
  context becomes much                      a business or
            easier                          process.
Variety                  Velocity              Volume                    Validity                     Veracity




The utility industry's time scales vary over 15 orders of magnitude due to the unique
diversity of sensors and critical business processes, and often at much faster intervals
than other industries, which, when trying to create scalable situational awareness,
impacts all five V‟s of the industry's Big Data pressures.



 Data from Utilities’ devices and sensors has an extraordinarily broad range of relevant time durations for which they are
 valuable to the business, from milliseconds, to decades
Image Caption: There were three time windows where situational awareness would have given sufficient time to
adequately respond.
To satisfy these imposing requirements constraints, Web entrepreneurs
    developed data management systems that achieved supercomputer power at
    bargain-
    bargain-basement cost by distributing computing tasks in parallel across large
    clusters of commodity servers.

    They also gained crucial agility – and further ramped up performance – by
    developing data models that were far more flexible than those of conventional
    RDBMS.



                         Web-                         non-
The best known of these Web-derived technologies are non-relational databases
        “NoSQL
         NoSQL”     “Not-Only-
(called “NoSQL” for “Not-Only-SQL,” SQL being the standard language for querying
and managing RDBMS), like the
                                                           open-
     Hadoop framework (inspired by Google; developed and open-sourced to
     Apache by Yahoo!) and
               (Facebook
                Facebook),
     Cassandra (Facebook),

      and search engine platforms,
      CloudView (EXALEAD)
      Nutch (Apache).

                                                  37
Enterprise wide Geographical Information System (GIS) in REL
   GIS Platform                                 Enterprise Data Management
                             Network Data
ArcCatalog, ArcMap                                       ArcSDE, ArcIMS
                       SLDs, Layouts, Cable Routes

                                                     Equipment Data
   Structural Data
                         New EHV Stations ,       Specifications, Diagrams,
    Towers, Pillars,       HVDS, LTMP,              Operational History
     Poles, Plinths          O&M etc.



                            Consumer Data               Network Analysis
Responder OMS,
                          Name, KNo., Service           Tools, Application
ArcFM
                             Line, DT No                Programs




                         Seeing is believing !!!!!!!
                             We have seen it
System Architecture

Business        Customer                    Transmission/Distribution
Support         Care (CIS)                          WMS/Staking/IVR

            XML              XML                    XML           XML


                             Integration Framework




                              ArcFM Solution
           (Models and Tools for Mapping and Network Data Management)



                                   ArcGIS
                             (Core GIS Functions)




                                                Open
                                               RDBMS
System Architecture
Need for GIS
• Impressive progress in power sector, but still insufficient.


         Demand




                                                                   Widening gap between demand and supply
                                                                   due to T& D losses amounting to 25% in the
                                     Supply                        distribution link.


               Losses                                                  BYPL                BRPL

               AT&C Loss %                                             50.71                39.68

               Distribution Loss %                                     48.11                42.7

               No. of Consumers                                       836000               1070000

              The estimated T&D losses for the fiscal 04-05 for BRPL and BYPL, Delhi



   Target – T & D loss Reduction                                      Solution – 1) Implementation of GIS modules
                                                                                   2) Distribution management thru’ GIS
Estimates of Implementing
                         GIS at Delhi
Initiatives taken by GIS PMO group established at CEO Office of the company are
as follows -

• Development of Functional Requirements and Data Model.
• Updating of Reliance Corporate Land base Maps.
• Capturing the entire EHV/HV network.
• Capturing the entire LV network.
• Capturing Consumer Information.
• In House Digitization and field QC.
• Consultancy Services by REL
Updating of Reliance Corporate LAND base Maps
• Integrated large scale corporate land base map prepared based on RICs data requirements with base data as IKONOS
imagery imported from Space Imaging.
• IKONOS imagery digitized by RDWL team through network of digitization vendors.
• Maps supplemented with field survey information conducted by contractors identified by RDWL.

Flaw in above system – Information updated by RDWL was insufficient for locating Electrical network and individual
Consumer Service points.

                                                                                          Codification Guidelines of RDWL
Solution – * Updating of all buildings with service
                                                                                   • Providing unique id to all building for its
            line feeding                                                           identification.
          * Including all new transport features including                         • Linking it with its consumer/service line.

            road, railway, flyovers.




                                                                                  Total Cost      Cost Per
                                                 Unit     Unit Cost     Qty.        (Mn)          Consumer

          Land Base                             Sq Km      20,000       900          18              9.44
          Land Base Updating                   Polygons      8        1,000,000       8               4.2


         Cost Estimates for Land base and Updating
Development of Functional Requirements and
                        Data Models
• ESRI / M&M appointed as GIS service providers by REL ( on behalf of BRPL and BYPL ) for
       - studying existing system.
       - developing functional requirement for proposed GIS.
• GIS Tools –
      * COTS available platforms from ESRI.
      * Third party applications from Miner and Miner.
      * Customer Applications for GIS interfaces for integration with other applications
            - SAP (ISU-CCS for Consumer Information).
            - SAP (PM) for Operations and Maintenance.
            - Cymedist Interface for Network Analysis.
            - GIS Interface for SCADA system.


                     Development of tool based on functional requirement and application design
                     document approved by REL for ESRI / M&M


             Testing and approval for implementation at cluster Citrix application servers at DAKC.


              Applications made available for access from anywhere in the Reliance Network including
                                           both the DISCOMS in Delhi.
Capturing Entire EHV/HV Network
Phase 1
The GIS data dictionary included the entire network of EHV and HV.
• EHV Grid Stations and their equipments.
• 11/0.44 kv substations and their equipments.
• 66.33 and 11 kv feeders.


        Survey agencies
     identified for capturing
                                                                                                  Total    Cost Per
       EHV/HV networks.
                                                                                                  Cost     Consume
                                                                    Unit      Unit Cost   Qty.    (Mn)        r
     Digitization of captured
       data using in-house           33/66 KV Conductor             Km
   digitization tools developed
                                     33/66 KV Cables                Km            650     476     0.3094     0.16
       by RDWL and REL
                                     11 KV Conductor                Km
   Digitized data migrated to        11 KV Cables                   Km            650     1,441   0.9367     0.49
    REL Corporate electric
   data base server at DAKC.         EHV Station                    Nos           2,500   124      0.31      0.16

                                     HV Stations                    Nos           500     8,000     4        2.1


      Database made accessible      Cost Estimates for EHV / HV Data Collection
      through ESRI COTS and
     customer application from
    anywhere in Reliance WAN
    including both DISCOMS in
               Delhi.
Capturing the entire LV Network
Phase 2
                                                                   Consumer Feeding Structure
Capturing LV network                                            points codified with unique codes
                                                                 for linking them with respective
                                                                         set of consumers.
Features captured –                                                                                     This would enable linking of every
• Consumer Feeding Points                                                                               consumer with its feeding point &
                                                                                                         11/440 v substation, required for
       * LV Support Structures                                                                          energy audit, NA, O&M and other
                                                                                                                   applications.
       * LV Feeder Pillars
       * Street Light Structures
• LV Feeder Network (0.44 kv ) connectivity




                                                                                               Total         Cost Per
                                                                     Unit                      Cost          Consum
                                                         Unit        Cost         Qty.         (Mn)            er


                   Feeder Pillars/Support Structures     SS            8         800,000            6          3.36


                 Cost Estimates for LV Data Collection
In-House Digitization and Field QC
Data being captured is governed
with stringent QA requirements
based on feature being captured

                            Team deputed for carrying out
                            QC who conducts field checks
                            before accepting data for
                            digitization
                                                            Data is then handed over to
                                                            digitization team where
                                                            digitization is done using
                                                            industry standard CAD/GIS
                                                            packages.
Capturing Consumer Information
Non-availability of accurate consumer records had been one of the main reasons for
commercial losses.

GIS based consumer indexing has been carried out by many DISCOMS / SEBs,
without much of a fruitful result.

At BSES, Delhi it is at a conceptual; stage and different models are being evaluated
for collecting consumer information

The consumer data being collected will be integrated with its building id for its spatial
location and network connectivity with its feeding structure id in GIS.


                                                                         Total   Cost Per
                                                                         Cost    Consume
                                      Unit       Unit Cost     Qty.      (Mn)       r

             Consumers              Consumer        7        1,906,000    13        7

            Cost Estimates for Consumer Data Collection
Skeleton of GIS

                                       CIS
SCADA




NO                                    OMS




        CIS       DATA          SAP
INTEGRATION AS A CONCEPT
INTEGRATION AS A CONCEPT
               Why integration?                          When Should Integration be
  Use work process flows to define touch points          Considered?
of integration to support business processes
                                                          Data/applications exist in many places
  Use enterprise and process modeling
 to describe how data and components                      Merger/acquisition of requirements
service the needed business processes                     Supporting thousands of users
        – Shared data doubles the accuracy and            with many different requirements
            quality requirements                          Scalability
        – look at the data from each systems
            perspective (financial vs. operations)

                                                       Metrics -- Measuring Integration
            Benefits of Integration                    Success

                                                     Customized for the organization
                                                     Tie Benefits and Metrics
     Reduces cost of connecting                           – Customer service measurements
   components and adding/changing
   components.                                            related to more up-to-date information
     Adds value to business processes                How can Integration…
     Enforces process consistency                         – increase revenue?
     Data Consistency                                     – improve customer service?
                                                          – give more information about our
                                                              business?
Integration with Other Applications
                                      !
                      Fault Detected




       High Tension
         Network        SCADA



                                                                           The image
                                                                           cannot be
                                                                           display ed.
                                                                          The image
                                                                           Your
                                                                          cannot be
                                                                           computer
                                                                                                      SAP
                                                                          display ed.ha
                                                                           may not




                                                                                                     Notification
                                                                          Your
                                                                          computer …




                                                                                                       &
                                                                                                     Work order
                                                                          SAP PM



                                              ArcFM
                        The image
                        cannot be
                        display ed.
                        Your
                        computer




                                                      `
                        may not ha




                                                                    Analyze Fault



        Low Tension         OMS/
          Network
                                          !
                      Fault Reported

                                                      The image
                                                                                     Electric Data
                                                                                          /
                                                      cannot be
                                                      display ed.
                                                      Your
                                                      computer
                                                      may not ha
Enterprise Wide Integrated GIS.


                     OMS-
                   Responder          Consumer
  Network                            Information
  Analysis                           System(CIS)

                      GIS-
                     AM/FM


                                        SAP
SCADA-DMS
                 Custom Tools
                  ( Energy Audit
                 Scheduler et al.)
Electric Network Trace
LT NETWORK


                Service Line




Service Point
SLD WITH REF-ID
SUPPORT STRUCTURE WITH ATTRIBUTES
CONSUMER DATA
Distribution Management thru’ integrated GIS

• Load Calibration (LC), Load Flow Calculation (LFC)
• Switching Orders based on minimum Loss path
• Static spatial connection and dynamic behavior of organizational model &
equipment model
• Switch and switch status telemetry superimposed with cable/conductor type &
length
• Electrical parameters (R, X, B, G ) derived there from to give loss data and
options
• Voltage profiling with load data superimposed on above
• Power quality and THD
• Distance relay zones superimposed on map to give nearest fault location
• Fault Isolation and switching restoration options
Consultancy Services


EcoUrja provides management services including –

• Survey and digitization
• Procurement and contracting
• Contract management and monitoring
• QA and QC
• Hardware and Software
• Application testing
• Migration and hosting services for application and database at DAKC
Load growth planning Using Geo-referenced data
Utility business processes operating as separate legal entities in a deregulated
environment. (Courtesy of ABB.)


                                                                              62
Estimated Benefits of GIS
• As per estimation, GIS will benefit by decreasing both Commercial and Technical losses.
• Based on assumption for 0.5%, 1.5% and 2.5% increase in MU billed for the first, second
and third year respectively by reduction of losses and better O & M.


                            Pre GIS Implementation                              Post GIS Implementation


                                                                              Approx.             Approx.              Approx.
                                                                      I Yr.   Increas    II Yr.   Increas    III Yr.   Increas
                                                                     (1.0%      e in     (1.5%      e in     (2.5%       e in
                           BYPL     BRPL                  Approx      Incr    Revenu      Incr    Revenu      Incr     Revenu
                            MU       MU         Total      Tariff     MU)        e        MU)        e        MU)         e
      Domestic              1591         2801    4392           2     43.92     87.84     66.54     133.08    112.56    225.12
      Commercial             580          740    1320           4      13.2      52.8        20      79.99     33.83    135.32
      Industrial             272          406     678           4      6.78     27.12     10.27      41.09     17.38     69.51
      Agriculture              1           66        67         1      0.67      0.34      1.02       0.51      1.72      0.86
      Bulk                   368         1100    1468           1     14.68      7.34     22.24      11.12     37.62     18.81
      Total Units Billed    2812         5113    7925                 79.25    175.44    120.06     265.78    203.11    449.62


     Benefits after GIS Implementation                        Note: From the table, increase in revenues with prevailing tariff is
                                                             175mn, 265Mn and 450Mn respectively for three years.
SAMPLE REQUIREMENT ANALYSIS SHEET
HT Maintenance Department

Sr.   Activities                    Description of activity                 How GIS can help
No
 1    Maintenance of 33 kV, 22 kV   Information of the 33KV or 22 kV        The affected are can be viewed on the GIS, so that the
      and 11 KV cables in the       feeder tripping is conveyed to the      cusomers may be informed accordingly.
      system                        zonal engineering dept
                                    Arrangements are made for the           a) Locating a Substation during an emergency, for
                                    necessary load transfer operations      carrying out Switchover operations
                                    as per the directions of the Load       b) Determining the shortest route between two
                                    Cell                                    substations or any two facilities
                                    Staff is deputed along with             Knowledge of existing joints on the cable and the
                                    personnel of Testing Dept. to           topology of the area beforehand
                                    pinpoint the location of fault
                                    Excavation is arranged for exposing     Generation of Intimation letters to appropriate BMC
                                    the fault after issuing necessary       Ward, with drawings of the portion to be excavated
                                    intimations to concerned local
                                    authorities.
                                    After exposure, the fault is            The number of cables lain along the same route can be
                                    ascertained, the cable identified       verified. The correct cable can then be exposed.
                                    and punctured. If fault is not
                                    discernible, re-testing is requested
                                    Cable jointing arranged and             a) Joint details can be updated on to the GIS directly
                                    intimation given to drawing dept.       b) All attribute details, viz jointing date, jointers name,
                                    regarding the same.                     type of joint etc can be attached to the joint
                                    On completion of jointing and           Keeping track of whether the excavated area has been
                                    refilling of excavated area, pressure   reinstated
                                    testing of the cable is carried out

                                    After successful pressure test,         Other faults/ disturbances/ abnormalities in the vicinity of
                                    message for charging the cable is       this area can be checked
                                    given. System normalising
                                    operations carried out as per Load
                                    Cell
                                    System normalising operations           Keeping track of affected areas, on the GIS map
                                    carried out as per Load Cell.
2   M aintenance of 11 kV/ 430V   Preventive Maintenance
    substations
                                  Substation Inspection & LT Load         a)Area-wise peak load period can be displayed on the
                                  reading :The load reading is            GIS
                                  carried out as per the known peak       b) An automatic schedule for load reading & Inspection
                                  load period of the substation and       can be generated keeping into account the shortest
                                  may be morning or evening,              travel time for the maintenance crew
                                  morning & evening and in some
                                  instances night
                                  Transformer Oil filtration: Monthly     a) The GIS can provide updated graphical information
                                  transformer oil filtration schedules    on where the outages have been taken
                                  are distributed to the Load Cell,       b) Line clear cards can be automatically generated and
                                  Controlling Receiving Station and to    ven mailed to the consumer in advance
                                  the various districts. The respective   c) The BDV of the Oil can be attached as an attribute
                                  D.I.’s arrange for outages as           data to the Transf
                                  scheduled by distribution of Line-
                                  Clear car
                                  Switchgear overhauling:
                                                overhauling               Same as above
                                  (frequency : once in THREE
                                  YEARS)
                                  The monthly switchgear overhauling
                                  schedules are distributed to the
                                  Load Cell, Controlling Receiving
                                  Station and to the various districts.
                                  The respective D.I.’s arrange for the
                                  scheduled outage by

3   Proposing improvements in     These proposals are for                 a)Detailed interior layout of the Substation is available
    network                       improvement of supply conditions in     instantly
                                  the area and include:                   b) Approach roads and possible shorted cable routes
                                  1) Reinforcement of H.T.U.G. Cable      can be identified.
                                  ( i.e. replacement of existing cable    c) Automatic generation of Bill of Material/ Cost
                                  with higher size cable)                 Estimates
                                  2) Change / addition of switch-gear     d) Displaying areas requiring improvements based on
                                  3) Change / addition of L.T. Panel      load
                                  4) In
4   Miscellaneous works   R Jobs
                          These are request jobs executed at a) Generating Estimates for execution of the Job
                          the behest of consumers, other        b) Locating the area of interest
                          utilities or the local authorities or
                          repair works carried out to rectify
                          damages on our cables as a result
                          of works carried out by the party.
                          Estimates for the same are
                          prepared and forwar
Estimating Return on Investments
Based on the assumptions of the benefits made, it can be seen that the
project has a pay back less than one year of its implementation.


                                                                      Increase in      Net Cash
                                                         Cost          Revenue          Flow             IRR
       GIS Implementation                                128               0             -128
       GIS Implementation (End of I Yr)                   40             175              135             6%
       Maintenance Cost estimated as 25% Of total
       Implementation (Yr. II)                            42             266              224            95%
       Maintenance Cost estimated as 15% Of total
       Implementation (Yr. iii)                           25             450              424            138%

      Return on investments


From the Table it can be seen that the project not only has very less payback period, but has fabulous returns over
second and third year with net cash flows as 135mn, 224mn and 424Mn with IRR as 6%, 955 and 138% for first,
second and third year respectively
Thank You
 The Project has since been commissioned and the
T&D Losses have been reduced adding significantly to
                      the IRR




     Presented at the 3rd Annual Indonesia Power Conference
         27th to 30th November 2012, Jakarta, Indonesia

                Dr Himadri Banerji, MD EcoUrja
          Ex Chief Executive Reliance Energy Ltd India

Contenu connexe

Tendances

2nd annual nuclear power uprate conference
2nd annual nuclear power uprate conference 2nd annual nuclear power uprate conference
2nd annual nuclear power uprate conference Dean Murphy
 
PD - Contract and Risk Conference - Integrated Schedule Cost Risk Analysis fo...
PD - Contract and Risk Conference - Integrated Schedule Cost Risk Analysis fo...PD - Contract and Risk Conference - Integrated Schedule Cost Risk Analysis fo...
PD - Contract and Risk Conference - Integrated Schedule Cost Risk Analysis fo...Pedram Danesh-Mand
 
Edinburgh | May-16 | Energy Storage Technologies for Climate Change Mitigation
Edinburgh | May-16 | Energy Storage Technologies for Climate Change MitigationEdinburgh | May-16 | Energy Storage Technologies for Climate Change Mitigation
Edinburgh | May-16 | Energy Storage Technologies for Climate Change MitigationSmart Villages
 
Human waste bank proposal,
Human  waste  bank  proposal,Human  waste  bank  proposal,
Human waste bank proposal,Eliud Kiogora
 
US DOE funding and cost targets for CSP
US DOE funding and cost targets for CSP US DOE funding and cost targets for CSP
US DOE funding and cost targets for CSP Smithers Apex
 
Contract Risk Assessment by using integrated systems
Contract Risk Assessment by using integrated systemsContract Risk Assessment by using integrated systems
Contract Risk Assessment by using integrated systemsPedram Danesh-Mand
 
Distributed Energy Storage conference
Distributed Energy Storage conferenceDistributed Energy Storage conference
Distributed Energy Storage conferenceDale Butler
 

Tendances (11)

2nd annual nuclear power uprate conference
2nd annual nuclear power uprate conference 2nd annual nuclear power uprate conference
2nd annual nuclear power uprate conference
 
PD - Contract and Risk Conference - Integrated Schedule Cost Risk Analysis fo...
PD - Contract and Risk Conference - Integrated Schedule Cost Risk Analysis fo...PD - Contract and Risk Conference - Integrated Schedule Cost Risk Analysis fo...
PD - Contract and Risk Conference - Integrated Schedule Cost Risk Analysis fo...
 
CSVinjam-Resume_Contract_Oct2016
CSVinjam-Resume_Contract_Oct2016CSVinjam-Resume_Contract_Oct2016
CSVinjam-Resume_Contract_Oct2016
 
Agneya Clientele
Agneya ClienteleAgneya Clientele
Agneya Clientele
 
Edinburgh | May-16 | Energy Storage Technologies for Climate Change Mitigation
Edinburgh | May-16 | Energy Storage Technologies for Climate Change MitigationEdinburgh | May-16 | Energy Storage Technologies for Climate Change Mitigation
Edinburgh | May-16 | Energy Storage Technologies for Climate Change Mitigation
 
Overview of U.S. Building Energy Regulations
Overview of U.S. Building Energy RegulationsOverview of U.S. Building Energy Regulations
Overview of U.S. Building Energy Regulations
 
Human waste bank proposal,
Human  waste  bank  proposal,Human  waste  bank  proposal,
Human waste bank proposal,
 
US DOE funding and cost targets for CSP
US DOE funding and cost targets for CSP US DOE funding and cost targets for CSP
US DOE funding and cost targets for CSP
 
Contract Risk Assessment by using integrated systems
Contract Risk Assessment by using integrated systemsContract Risk Assessment by using integrated systems
Contract Risk Assessment by using integrated systems
 
05 pershad ee_ccsc_cambridge - Early careers winter school, 9-12th January 20...
05 pershad ee_ccsc_cambridge - Early careers winter school, 9-12th January 20...05 pershad ee_ccsc_cambridge - Early careers winter school, 9-12th January 20...
05 pershad ee_ccsc_cambridge - Early careers winter school, 9-12th January 20...
 
Distributed Energy Storage conference
Distributed Energy Storage conferenceDistributed Energy Storage conference
Distributed Energy Storage conference
 

En vedette

Architecture of Search Systems and Measuring the Search Effectiveness
Architecture of Search Systems and Measuring the Search EffectivenessArchitecture of Search Systems and Measuring the Search Effectiveness
Architecture of Search Systems and Measuring the Search EffectivenessFindwise
 
Presentation for Power Management of Smart phones
Presentation for Power Management of Smart phonesPresentation for Power Management of Smart phones
Presentation for Power Management of Smart phonesUniversity of Calcutta
 
Presentation on Smart Grid
Presentation on Smart GridPresentation on Smart Grid
Presentation on Smart Gridnickitran
 
SMART GRID DEVELOPMENT IN INDIA - by Mr. S.R. Sethi, Senior Advisor UPES
SMART GRID DEVELOPMENT IN INDIA - by Mr. S.R. Sethi, Senior Advisor UPES SMART GRID DEVELOPMENT IN INDIA - by Mr. S.R. Sethi, Senior Advisor UPES
SMART GRID DEVELOPMENT IN INDIA - by Mr. S.R. Sethi, Senior Advisor UPES UPES Dehradun
 

En vedette (7)

Architecture of Search Systems and Measuring the Search Effectiveness
Architecture of Search Systems and Measuring the Search EffectivenessArchitecture of Search Systems and Measuring the Search Effectiveness
Architecture of Search Systems and Measuring the Search Effectiveness
 
Presentation for Power Management of Smart phones
Presentation for Power Management of Smart phonesPresentation for Power Management of Smart phones
Presentation for Power Management of Smart phones
 
Presentation on Smart Grid
Presentation on Smart GridPresentation on Smart Grid
Presentation on Smart Grid
 
SMART GRID DEVELOPMENT IN INDIA - by Mr. S.R. Sethi, Senior Advisor UPES
SMART GRID DEVELOPMENT IN INDIA - by Mr. S.R. Sethi, Senior Advisor UPES SMART GRID DEVELOPMENT IN INDIA - by Mr. S.R. Sethi, Senior Advisor UPES
SMART GRID DEVELOPMENT IN INDIA - by Mr. S.R. Sethi, Senior Advisor UPES
 
ppt on Smart Grid
ppt on Smart Gridppt on Smart Grid
ppt on Smart Grid
 
Smart Grid Technology
Smart Grid TechnologySmart Grid Technology
Smart Grid Technology
 
Smart grid ppt
Smart grid pptSmart grid ppt
Smart grid ppt
 

Similaire à Big Data in Power Systems Planning and Network Growth

Nuclear Sector Deal webinar series 2021. Cost reduction in nuclear new build....
Nuclear Sector Deal webinar series 2021. Cost reduction in nuclear new build....Nuclear Sector Deal webinar series 2021. Cost reduction in nuclear new build....
Nuclear Sector Deal webinar series 2021. Cost reduction in nuclear new build....RomanaVysatova
 
Introduction to ΔQ and Network Performance Science (extracts)
Introduction to ΔQ and Network Performance Science (extracts)Introduction to ΔQ and Network Performance Science (extracts)
Introduction to ΔQ and Network Performance Science (extracts)Martin Geddes
 
Network performance optimisation using high-fidelity measures
Network performance optimisation using high-fidelity measuresNetwork performance optimisation using high-fidelity measures
Network performance optimisation using high-fidelity measuresMartin Geddes
 
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...John Dirkman, PE
 
De Martini - Sanders GWAC-PJM preso on DSO model 031014
De Martini - Sanders GWAC-PJM preso on DSO model  031014De Martini - Sanders GWAC-PJM preso on DSO model  031014
De Martini - Sanders GWAC-PJM preso on DSO model 031014Paul De Martini
 
Telecom Challenges and Electric Vehicles
Telecom Challenges and Electric VehiclesTelecom Challenges and Electric Vehicles
Telecom Challenges and Electric VehiclesWim D'Hondt
 
Economics of solar farms india dec 3 2015
Economics of solar farms  india dec 3 2015Economics of solar farms  india dec 3 2015
Economics of solar farms india dec 3 2015Vinod K Kala
 
Aged Data Center Infrastructure.pptx
Aged Data Center Infrastructure.pptxAged Data Center Infrastructure.pptx
Aged Data Center Infrastructure.pptxSchneider Electric
 
Policy & Regulatory Enablers for off-grid solar PV growth in India-Madhavan N...
Policy & Regulatory Enablers for off-grid solar PV growth in India-Madhavan N...Policy & Regulatory Enablers for off-grid solar PV growth in India-Madhavan N...
Policy & Regulatory Enablers for off-grid solar PV growth in India-Madhavan N...RESolve Energy Consultants
 
PG&E_Distribution_Resource_Plan_Summary
PG&E_Distribution_Resource_Plan_SummaryPG&E_Distribution_Resource_Plan_Summary
PG&E_Distribution_Resource_Plan_SummaryThomas Russell, PE
 

Similaire à Big Data in Power Systems Planning and Network Growth (20)

Nuclear Sector Deal webinar series 2021. Cost reduction in nuclear new build....
Nuclear Sector Deal webinar series 2021. Cost reduction in nuclear new build....Nuclear Sector Deal webinar series 2021. Cost reduction in nuclear new build....
Nuclear Sector Deal webinar series 2021. Cost reduction in nuclear new build....
 
Introduction to ΔQ and Network Performance Science (extracts)
Introduction to ΔQ and Network Performance Science (extracts)Introduction to ΔQ and Network Performance Science (extracts)
Introduction to ΔQ and Network Performance Science (extracts)
 
Network performance optimisation using high-fidelity measures
Network performance optimisation using high-fidelity measuresNetwork performance optimisation using high-fidelity measures
Network performance optimisation using high-fidelity measures
 
10.5_Concordville Microgrid_PECO_EPRI/SNL Microgrid Symposium
10.5_Concordville Microgrid_PECO_EPRI/SNL Microgrid Symposium10.5_Concordville Microgrid_PECO_EPRI/SNL Microgrid Symposium
10.5_Concordville Microgrid_PECO_EPRI/SNL Microgrid Symposium
 
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...
 
De Martini - Sanders GWAC-PJM preso on DSO model 031014
De Martini - Sanders GWAC-PJM preso on DSO model  031014De Martini - Sanders GWAC-PJM preso on DSO model  031014
De Martini - Sanders GWAC-PJM preso on DSO model 031014
 
Day two planning
Day two planningDay two planning
Day two planning
 
6.1_Adapting the Integrated Grid Economic Framework to Microgrids_Roark_EPRI/...
6.1_Adapting the Integrated Grid Economic Framework to Microgrids_Roark_EPRI/...6.1_Adapting the Integrated Grid Economic Framework to Microgrids_Roark_EPRI/...
6.1_Adapting the Integrated Grid Economic Framework to Microgrids_Roark_EPRI/...
 
Telecom Challenges and Electric Vehicles
Telecom Challenges and Electric VehiclesTelecom Challenges and Electric Vehicles
Telecom Challenges and Electric Vehicles
 
Economics of solar farms india dec 3 2015
Economics of solar farms  india dec 3 2015Economics of solar farms  india dec 3 2015
Economics of solar farms india dec 3 2015
 
Panel 2: Utility Presentation
Panel 2: Utility PresentationPanel 2: Utility Presentation
Panel 2: Utility Presentation
 
Aged Data Center Infrastructure.pptx
Aged Data Center Infrastructure.pptxAged Data Center Infrastructure.pptx
Aged Data Center Infrastructure.pptx
 
Policy & Regulatory Enablers for off-grid solar PV growth in India-Madhavan N...
Policy & Regulatory Enablers for off-grid solar PV growth in India-Madhavan N...Policy & Regulatory Enablers for off-grid solar PV growth in India-Madhavan N...
Policy & Regulatory Enablers for off-grid solar PV growth in India-Madhavan N...
 
Digitechx Services Presentation
Digitechx Services PresentationDigitechx Services Presentation
Digitechx Services Presentation
 
7.3_Schneider Electric_Barton_EPRI/SNL Microgrid Symposium
7.3_Schneider Electric_Barton_EPRI/SNL Microgrid Symposium7.3_Schneider Electric_Barton_EPRI/SNL Microgrid Symposium
7.3_Schneider Electric_Barton_EPRI/SNL Microgrid Symposium
 
PG&E_Distribution_Resource_Plan_Summary
PG&E_Distribution_Resource_Plan_SummaryPG&E_Distribution_Resource_Plan_Summary
PG&E_Distribution_Resource_Plan_Summary
 
Improving Interconnection: Integrated Distribution Planning
Improving Interconnection: Integrated Distribution PlanningImproving Interconnection: Integrated Distribution Planning
Improving Interconnection: Integrated Distribution Planning
 
The electricity distribution system and energy decarbonisation
The electricity distribution system and energy decarbonisationThe electricity distribution system and energy decarbonisation
The electricity distribution system and energy decarbonisation
 
Digitechx Services
Digitechx ServicesDigitechx Services
Digitechx Services
 
Oliver Spink
Oliver SpinkOliver Spink
Oliver Spink
 

Plus de HIMADRI BANERJI

Workshop on Plant Commissioning and Seamless Startup final.pdf
Workshop on Plant Commissioning and Seamless Startup final.pdfWorkshop on Plant Commissioning and Seamless Startup final.pdf
Workshop on Plant Commissioning and Seamless Startup final.pdfHIMADRI BANERJI
 
Brochure on Two Day Workshop on Plant Commissioning and Seamless Start Up By ...
Brochure on Two Day Workshop on Plant Commissioning and Seamless Start Up By ...Brochure on Two Day Workshop on Plant Commissioning and Seamless Start Up By ...
Brochure on Two Day Workshop on Plant Commissioning and Seamless Start Up By ...HIMADRI BANERJI
 
Gas Turbines Failures Applications & Root Cause Analysis.pptx
Gas Turbines Failures Applications & Root Cause Analysis.pptxGas Turbines Failures Applications & Root Cause Analysis.pptx
Gas Turbines Failures Applications & Root Cause Analysis.pptxHIMADRI BANERJI
 
Gas Turbines O&M-Trainer Rev 01.pdf
Gas Turbines O&M-Trainer Rev 01.pdfGas Turbines O&M-Trainer Rev 01.pdf
Gas Turbines O&M-Trainer Rev 01.pdfHIMADRI BANERJI
 
Making Artificial Intelligence Work in Managing Change
Making Artificial Intelligence Work in Managing ChangeMaking Artificial Intelligence Work in Managing Change
Making Artificial Intelligence Work in Managing ChangeHIMADRI BANERJI
 
Case Studies IN Machine Learning
Case Studies IN Machine Learning Case Studies IN Machine Learning
Case Studies IN Machine Learning HIMADRI BANERJI
 
Program Link to Workshop AI.pdf
Program Link to Workshop AI.pdfProgram Link to Workshop AI.pdf
Program Link to Workshop AI.pdfHIMADRI BANERJI
 
Brochure for 2022 Webinar Dr.Himadri AI.pdf
Brochure for 2022 Webinar Dr.Himadri AI.pdfBrochure for 2022 Webinar Dr.Himadri AI.pdf
Brochure for 2022 Webinar Dr.Himadri AI.pdfHIMADRI BANERJI
 
Risk management in nuclear projects and strategy of small reactors [compatibi...
Risk management in nuclear projects and strategy of small reactors [compatibi...Risk management in nuclear projects and strategy of small reactors [compatibi...
Risk management in nuclear projects and strategy of small reactors [compatibi...HIMADRI BANERJI
 
Lng project risk and appraisal 2012 final 03092012
Lng project risk and appraisal 2012 final 03092012Lng project risk and appraisal 2012 final 03092012
Lng project risk and appraisal 2012 final 03092012HIMADRI BANERJI
 
Risk management FSRU himadri banerji
Risk management FSRU himadri banerjiRisk management FSRU himadri banerji
Risk management FSRU himadri banerjiHIMADRI BANERJI
 
Risk management during start up and commissioning of super critical once thro...
Risk management during start up and commissioning of super critical once thro...Risk management during start up and commissioning of super critical once thro...
Risk management during start up and commissioning of super critical once thro...HIMADRI BANERJI
 
FSRU RISK MANAGEMENT AND CONTROL
FSRU RISK MANAGEMENT AND CONTROLFSRU RISK MANAGEMENT AND CONTROL
FSRU RISK MANAGEMENT AND CONTROLHIMADRI BANERJI
 
Thermal coal upgradation and conversion in india ibc asia, jakarta april 25, ...
Thermal coal upgradation and conversion in india ibc asia, jakarta april 25, ...Thermal coal upgradation and conversion in india ibc asia, jakarta april 25, ...
Thermal coal upgradation and conversion in india ibc asia, jakarta april 25, ...HIMADRI BANERJI
 
Clean Coal Technology:Indian Perspective by Himadri Banerji
Clean Coal Technology:Indian Perspective by Himadri Banerji Clean Coal Technology:Indian Perspective by Himadri Banerji
Clean Coal Technology:Indian Perspective by Himadri Banerji HIMADRI BANERJI
 
World Class Manufacturing:Plant Start Up and Commissioning Procedure
World  Class Manufacturing:Plant Start Up and Commissioning Procedure World  Class Manufacturing:Plant Start Up and Commissioning Procedure
World Class Manufacturing:Plant Start Up and Commissioning Procedure HIMADRI BANERJI
 
Start Up and Commissioning of Supercritical Power Stations: Risk Management P...
Start Up and Commissioning of Supercritical Power Stations: Risk Management P...Start Up and Commissioning of Supercritical Power Stations: Risk Management P...
Start Up and Commissioning of Supercritical Power Stations: Risk Management P...HIMADRI BANERJI
 
Energy Intelligence Analytics and Optimization
Energy Intelligence Analytics and OptimizationEnergy Intelligence Analytics and Optimization
Energy Intelligence Analytics and OptimizationHIMADRI BANERJI
 
Challenges in Building the 21st Century Energy infrastructure in a Low Carbon...
Challenges in Building the 21st Century Energy infrastructure in a Low Carbon...Challenges in Building the 21st Century Energy infrastructure in a Low Carbon...
Challenges in Building the 21st Century Energy infrastructure in a Low Carbon...HIMADRI BANERJI
 
Geothermal Power for the Entrepreneur in India with EcoUrja
Geothermal Power for the Entrepreneur in India with EcoUrjaGeothermal Power for the Entrepreneur in India with EcoUrja
Geothermal Power for the Entrepreneur in India with EcoUrjaHIMADRI BANERJI
 

Plus de HIMADRI BANERJI (20)

Workshop on Plant Commissioning and Seamless Startup final.pdf
Workshop on Plant Commissioning and Seamless Startup final.pdfWorkshop on Plant Commissioning and Seamless Startup final.pdf
Workshop on Plant Commissioning and Seamless Startup final.pdf
 
Brochure on Two Day Workshop on Plant Commissioning and Seamless Start Up By ...
Brochure on Two Day Workshop on Plant Commissioning and Seamless Start Up By ...Brochure on Two Day Workshop on Plant Commissioning and Seamless Start Up By ...
Brochure on Two Day Workshop on Plant Commissioning and Seamless Start Up By ...
 
Gas Turbines Failures Applications & Root Cause Analysis.pptx
Gas Turbines Failures Applications & Root Cause Analysis.pptxGas Turbines Failures Applications & Root Cause Analysis.pptx
Gas Turbines Failures Applications & Root Cause Analysis.pptx
 
Gas Turbines O&M-Trainer Rev 01.pdf
Gas Turbines O&M-Trainer Rev 01.pdfGas Turbines O&M-Trainer Rev 01.pdf
Gas Turbines O&M-Trainer Rev 01.pdf
 
Making Artificial Intelligence Work in Managing Change
Making Artificial Intelligence Work in Managing ChangeMaking Artificial Intelligence Work in Managing Change
Making Artificial Intelligence Work in Managing Change
 
Case Studies IN Machine Learning
Case Studies IN Machine Learning Case Studies IN Machine Learning
Case Studies IN Machine Learning
 
Program Link to Workshop AI.pdf
Program Link to Workshop AI.pdfProgram Link to Workshop AI.pdf
Program Link to Workshop AI.pdf
 
Brochure for 2022 Webinar Dr.Himadri AI.pdf
Brochure for 2022 Webinar Dr.Himadri AI.pdfBrochure for 2022 Webinar Dr.Himadri AI.pdf
Brochure for 2022 Webinar Dr.Himadri AI.pdf
 
Risk management in nuclear projects and strategy of small reactors [compatibi...
Risk management in nuclear projects and strategy of small reactors [compatibi...Risk management in nuclear projects and strategy of small reactors [compatibi...
Risk management in nuclear projects and strategy of small reactors [compatibi...
 
Lng project risk and appraisal 2012 final 03092012
Lng project risk and appraisal 2012 final 03092012Lng project risk and appraisal 2012 final 03092012
Lng project risk and appraisal 2012 final 03092012
 
Risk management FSRU himadri banerji
Risk management FSRU himadri banerjiRisk management FSRU himadri banerji
Risk management FSRU himadri banerji
 
Risk management during start up and commissioning of super critical once thro...
Risk management during start up and commissioning of super critical once thro...Risk management during start up and commissioning of super critical once thro...
Risk management during start up and commissioning of super critical once thro...
 
FSRU RISK MANAGEMENT AND CONTROL
FSRU RISK MANAGEMENT AND CONTROLFSRU RISK MANAGEMENT AND CONTROL
FSRU RISK MANAGEMENT AND CONTROL
 
Thermal coal upgradation and conversion in india ibc asia, jakarta april 25, ...
Thermal coal upgradation and conversion in india ibc asia, jakarta april 25, ...Thermal coal upgradation and conversion in india ibc asia, jakarta april 25, ...
Thermal coal upgradation and conversion in india ibc asia, jakarta april 25, ...
 
Clean Coal Technology:Indian Perspective by Himadri Banerji
Clean Coal Technology:Indian Perspective by Himadri Banerji Clean Coal Technology:Indian Perspective by Himadri Banerji
Clean Coal Technology:Indian Perspective by Himadri Banerji
 
World Class Manufacturing:Plant Start Up and Commissioning Procedure
World  Class Manufacturing:Plant Start Up and Commissioning Procedure World  Class Manufacturing:Plant Start Up and Commissioning Procedure
World Class Manufacturing:Plant Start Up and Commissioning Procedure
 
Start Up and Commissioning of Supercritical Power Stations: Risk Management P...
Start Up and Commissioning of Supercritical Power Stations: Risk Management P...Start Up and Commissioning of Supercritical Power Stations: Risk Management P...
Start Up and Commissioning of Supercritical Power Stations: Risk Management P...
 
Energy Intelligence Analytics and Optimization
Energy Intelligence Analytics and OptimizationEnergy Intelligence Analytics and Optimization
Energy Intelligence Analytics and Optimization
 
Challenges in Building the 21st Century Energy infrastructure in a Low Carbon...
Challenges in Building the 21st Century Energy infrastructure in a Low Carbon...Challenges in Building the 21st Century Energy infrastructure in a Low Carbon...
Challenges in Building the 21st Century Energy infrastructure in a Low Carbon...
 
Geothermal Power for the Entrepreneur in India with EcoUrja
Geothermal Power for the Entrepreneur in India with EcoUrjaGeothermal Power for the Entrepreneur in India with EcoUrja
Geothermal Power for the Entrepreneur in India with EcoUrja
 

Big Data in Power Systems Planning and Network Growth

  • 1. Overcoming Constraints and Challenges in Power System Management and Network Growth Big Data in Management of Smart Grids Presented at the 3rd Annual Indonesia Power Conference 27th to 30th November 2012, Jakarta, Indonesia Dr Himadri Banerji, Ex Chief Executive Reliance Energy Ltd India & MD EcoUrja
  • 2. Overcoming Constraints and Challenges in Power System Management and Network Growth Session Objectives long- • Determining minimum cost strategies for long-range expansion of generation, transmission and distribution systems • Supplying load forecast within a set of technical, economic and political restraints • Studying electric load forecast, load growth and regional disparities • Perspectives in evolution in technology in generation, transmission and distribution • Assimilation of renewable energy etc network topology and modelling • System design options with economics and cost benefit analysis 2
  • 3. Utility business processes operating as separate legal entities in a deregulated environment. (Courtesy of ABB.) 3
  • 4. Drivers for Total Network Investment Approach to T&D Network Planning Schematic diagram of transmission and distribution networks 4
  • 5. Drivers for Total Network Investment Approach to T&D Network Planning The Mission Statement 1. "Our company will be the premium regional provider of electric power.“ Recognizing that its current financial situation prohibits competing on the basis of price, this utility has decided to make quality and service its hallmark. Achieving lowest possible cost is not the goal; achieving low cost while meeting high service standards. 2. "Provide economical electric power for the prosperity of the region.“ This utility has a long-standing tradition of low rates, a way of attracting new industry (i.e. growth) to the region. Plans that invest a good deal to improve quality are simply "not with the program.“ Marginal quality improvements in a new plan are permissible, only if they lead to lower cost. 5
  • 6. Drivers for Total Network Investment Approach to T&D Network Planning The Mission Statement 3. "... maximize return on equity.“ This criterion means the utility wants to earn the most on what it currently owns. Utilization of existing T&D facilities is the key. This utility is more reluctant to invest by borrowing than a utility that wants to maximize return on investment. Plans that call for massive capital spending may be unacceptable. 4. "... maximize return on investment.“ This mission makes no direct distinction between equity and debt - apparently the utility is willing to borrow, if it increases what it can earn on that investment. A plan calling for considerable capital outlay is permissible, if that investment yields a good return 6
  • 7. Drivers for Total Network Investment Implementing Renewable Energy Directive In order to reach the 15% overall energy target, the RES suggests that: More than 30% of electricity is to be generated from renewable sources; 12% of heat is to be generated from renewable sources such as biomass, solar and heat pump sources in homes and businesses; 10% of transport energy is to come from renewable sources. The RES recognises that increasing generation from renewable will have implications for grid investment, grid technology and grid connection policy. All of these issues have the ability to impact on T&D‟s investment plans. 7
  • 8. Approach to analysis of integrating renewables Approach to analysis of integrating renewables 8
  • 9. VCC- Example of VCC-HVDC transmission for a Wind Turbine Integration 9
  • 10. Major Challenges Security of electricity supply Society is becoming more and more dependent on reliable and high- quality electricity supply. The power industry around the world continues to face an ever changing technological and regulatory environment. As a result of the efforts to combat climate change, deployments of wind, solar, tidal, wave and other power generators with variable and less certain power output are being installed and will continue to be installed on a large scale. 10
  • 11. Drivers for Total Network Investment Approach to T&D Network Planning Planning is a process of determining the best course of action or schedule of commitments that can be made to achieve one's goals. The planning process can be segmented into the five steps shown in next slide. Each one is an important part of the process for planning in any type of industry, but in particularly utility T&D planning. 11
  • 12. Drivers for Total Network Investment Approach to T&D Network Planning Approach to T&D Network Planning Steps Description •Explicitly define the range of application and its Explicitly •Identify the problem I limits. •Determine the goals Determine •What goals are to be achieved? What •Identify the alternatives Identify lternatives •What is to be minimized? What options are What available? •Evaluate the Alternatives Evaluate •Evaluate all the options on a sound basis. Evaluate •Select the Best Alternatives Select •S elect the option that best satisfies the goals S with respect to the problem. •Final plan Final 12
  • 13. Drivers for Total Network Investment Approach to T&D Network Planning Some Typical Criteria and Costs Evaluated in Electric System Planning Criteria Attributes Voltage standards Cost of equipment Noise and emissions limitations Cost of land and ROW Safety and clearance standards Cost of labour and construction Electrical and fire protection Cost of taxes, insurance, etc. standards Cost of design and engineering Pollutant/toxicity material restrictions Cost for maintenance and operations Aesthetic impact and standards Cost of losses Maintenance access requirements Cost of permits, licenses, etc. Equipment loading standards Flexibility in future design Contingency margin requirements Salvage cost (at end of life) Equipment loading standards Fuel & fuel delivery cost Construction method requirements 13
  • 14. Drivers for Total Network Investment SHORT- SHORT-AND LONG-RANGE PLANNING LONG- Lead- Lead-time - the time it takes to prepare, build, and install facilities - sets the minimum planning period for any endeavor. If it takes up to five years to order materials, obtain permits, survey, build, test, and put into service a new substation in the core of a major metropolitan area, then the power distribution utility has no choice but to plan at least five years ahead in order to make certain it will have all new substations by the time they are needed 14
  • 15. Drivers for Total Network Investment Typical Minimum Lead Times at Various Levels of the Electric Utility Power System Level Years Central Station Generation 10 EHV Transmission (>500 kV) 9 Transmission 8 Sub-transmission (< 140 kV) 7 Primary Distribution Substations 5 Primary Voltage Feeders 3 Rebuilding existing substations 2 Rebuilding existing lines – UG 2 Rebuilding existing lines – OH 1 Lateral primary voltage taps, changes 1 Distributed generation (> 10 MVA) 2 Distributed Generation (10-1 MVA) 1 Dispersed generation (< 1 MVA) 4 Service level 2 15
  • 16. Drivers for Total Network Investment SHORT- SHORT-AND LONG-RANGE PLANNING LONG- The "short-range plan" is a schedule of additions, enhancements, reinforcements and changes that are to be made to the system and that have been authorized and committed. Although there is always some recourse in any plan, the short range plan is composed of decisions which have, in effect, been "locked in." As such, it tends to be very "project oriented," as shown in next slide. 16
  • 17. Drivers for Total Network Investment SHORT- SHORT-AND LONG-RANGE PLANNING LONG- The short-range planning process leads, ultimately, to a series of separately identifiable Project authorizations, each committing to a Particular addition(s) to the system, with its own scope of work schedule, budget justification. These project authorizations are the hand off from the planning process to the engineering and construction process. 17
  • 18. SHORT- SHORT-AND LONG-RANGE PLANNING LONG- Load forecast Existing system lead- for the lead-time & planned additions year(s) lead- through lead-time Drivers for Total Network Investment Short-range Planning process Identified area capacity shortfalls and solutions 18
  • 19. Drivers for Total Network Investment SHORT- SHORT-AND LONG-RANGE PLANNING LONG- Long-range Planning: Focus on Reducing Cost Long-range planning focuses on making certain that the equipment and facilities called for in the short-range plan provide lasting value and the lowest overall cost during their lifetime, unlike short-range planning, which seeks to identify problems and solve them before they occur. The reason to look beyond the lead-time, and to plan for the long run, is to assure the decisions being made have the most lasting value 19
  • 20. Drivers for Total Network Investment The Allowable Returns Sample of a Utility Post Tax Returns Utility has forecast its capital expenditure requirements for the duration of Regulatory Period. Tax allowances will depend on the nature of this expenditure and Utility has provided a forecast of the likely categories which the expenditure will fall into for tax purposes. The level of tax allowances will follow Government Customs and Revenue rules. Utility will be required to furnish the Authority on an annual basis with a tax return against which it can compare actual taxation with Utility’s forecast. Such information will also inform the Authority of how to treat taxation at the time of the next price control review. 20
  • 21. Drivers for Total Network Investment Smart Programs •Smart 1 includes projects such as solar water heating, biomass generation Smart and heating, small scale wind generation and tidal generation, and seeks to stimulate near market renewable technologies through the funding of programmes of renewable installations. •Through the Smart 2 programme, Utility has sought to encourage, identify and Through programme, support renewable energy and energy efficient alternatives to conventional network reinforcement. 21
  • 22. Drivers for Total Network Investment Smart Programs Support, through funding, for a range of renewable installation programmes and for a small number of higher-value renewable projects (Where a renewable based alternative to conventional network reinforcement is confirmed and the support mechanism can be capitalised, it would be funded from T&D network capital investment plan at a 1% (pre tax) additional rate of return). Utility envisages establishing a Protected Customers Fund that would finance projects specifically targeted at combating fuel poverty by assisting low income households to access available grants and social benefits. 22
  • 23. Drivers for Total Network Investment Smart Programs 23
  • 24. Estimation of Total Network Investment Combining the network investment arising from new demand, ageing infrastructure, and additional costs associated with renewable gives the total annual investment in electricity networks for each region: 24
  • 25. T&D Costs of an Electric Utility for a Regulatory Period 25
  • 26. Drivers for Total Network Investment Annual Revenue Requirement A regulated company incurs both operating and capital costs, including finance costs. Under the current price control, a formula within the utility's T&D‟s licence determines the amount of revenue which the company can raise in year t in respect of its operating and capital costs, including a return and depreciation. The formula is: MDt = COt-5 + Pt-5 + UOt + (RABt x CoCt) + Taxt+ Dept + CoLt + Dt + Kt16 COt- Pt- Where: MDt is the maximum regulated T&D revenue COt-5 is the actual controllable operating expenditure (Opex) five years earlier (excluding pensions costs and after making the one-off adjustments, RPI indexed to the year t price base; P t-5 is the amount of pensions costs paid five years earlier (less a disallowance in respect of early retirement deficiency costs), RPI indexed to the year t price base; UOt is the actual uncontrollable Opex in year t in nominal prices; 26
  • 27. Drivers for Total Network Investment Annual Revenue Requirement RABt is the average regulatory asset base (RAB) for year t in nominal prices; CoCt is the allowed cost of capital; Note: CoCt is also referred to as the WACC and RABt x CoCt is known as the „Return on RAB‟ Taxt is the allowance for tax costs; Dept is the RAB depreciation allowance; CoLt is revenue adjustments arising under the change of law provisions; Dt is revenue adjustments arising from assessed capital expenditure (Capex) efficiency gains or losses and revenue due under SMART programmes. Any costs in this category require regulatory approval. Kt is the correction factor due to over/under recoveries 27
  • 28. Managing Constraints in T&D Network Expansion Chasing Higher IRRs Big Data and Enterprise GIS
  • 29. Expectations of Power Utility Improve revenue by improving ‘ENS’ ( Energy Not Served). Improve performance by improving SAIFI, SAIDI. Improving ‘Customer Complaints’ logs in Trouble Call Management. Long-standing faults brought to a minimum. Limiting number of interruption per day a) Breakdown b) Preventive Maintenance c) Load-shedding.
  • 30. Expectations of Power Utility Good collection & billing System. To reduce Outage Time. To stop Power theft. To provide better services to the consumers. To have stabilized Asset Management System. Safety- Zero fatality rate.
  • 31. On August 14, 2003, large portions of the Midwest and Northeast United States and Ontario, Canada, experienced an electric power blackout. The outage affected an area with an estimated 50 million people and 61,800 megawatts (MW) of electric load in the states of Ohio, Michigan, Pennsylvania, New York, Vermont, Massachusetts, Connecticut, and New Jersey and the Canadian province of Ontario. The blackout began a few minutes after 4:00 pm Eastern Daylight Time (16:00 EDT), and power was not restored for 2 days in some parts of the United States. Parts of Ontario suffered rolling blackouts for more than a week before full power was restored.
  • 32. Relational database (RDB) Rise to prominent use by utilities However failure of traditional databases like RDBs to scale well in the face of rising data volumes, complexity, and speed has been well proven, with alternative technologies often outperforming them by more Object-oriented databases (ODB) and emerging NoSQL technologies, HADOOP,
  • 33. “Big Data” is typically considered to be a data collection that has grown so large it can’t be effectively or affordably managed (or exploited) using conventional data management tools: e.g., classic relational database management systems (RDBMS) or conventional search engines, depending on the task at hand. This can as easily occur at 1 terabyte as at 1 petabyte, though most discussions concern collections that weigh in at several terabytes at least.
  • 34. situational having an awareness in real-time understanding of means what you need to know, have control of & conduct analysis for If you have these to identify anomalies things, making the right in normal patterns or decision in the right behaviours that can amount of time in any affect the outcome of context becomes much a business or easier process.
  • 35. Variety Velocity Volume Validity Veracity The utility industry's time scales vary over 15 orders of magnitude due to the unique diversity of sensors and critical business processes, and often at much faster intervals than other industries, which, when trying to create scalable situational awareness, impacts all five V‟s of the industry's Big Data pressures. Data from Utilities’ devices and sensors has an extraordinarily broad range of relevant time durations for which they are valuable to the business, from milliseconds, to decades
  • 36. Image Caption: There were three time windows where situational awareness would have given sufficient time to adequately respond.
  • 37. To satisfy these imposing requirements constraints, Web entrepreneurs developed data management systems that achieved supercomputer power at bargain- bargain-basement cost by distributing computing tasks in parallel across large clusters of commodity servers. They also gained crucial agility – and further ramped up performance – by developing data models that were far more flexible than those of conventional RDBMS. Web- non- The best known of these Web-derived technologies are non-relational databases “NoSQL NoSQL” “Not-Only- (called “NoSQL” for “Not-Only-SQL,” SQL being the standard language for querying and managing RDBMS), like the open- Hadoop framework (inspired by Google; developed and open-sourced to Apache by Yahoo!) and (Facebook Facebook), Cassandra (Facebook), and search engine platforms, CloudView (EXALEAD) Nutch (Apache). 37
  • 38. Enterprise wide Geographical Information System (GIS) in REL GIS Platform Enterprise Data Management Network Data ArcCatalog, ArcMap ArcSDE, ArcIMS SLDs, Layouts, Cable Routes Equipment Data Structural Data New EHV Stations , Specifications, Diagrams, Towers, Pillars, HVDS, LTMP, Operational History Poles, Plinths O&M etc. Consumer Data Network Analysis Responder OMS, Name, KNo., Service Tools, Application ArcFM Line, DT No Programs Seeing is believing !!!!!!! We have seen it
  • 39. System Architecture Business Customer Transmission/Distribution Support Care (CIS) WMS/Staking/IVR XML XML XML XML Integration Framework ArcFM Solution (Models and Tools for Mapping and Network Data Management) ArcGIS (Core GIS Functions) Open RDBMS
  • 41. Need for GIS • Impressive progress in power sector, but still insufficient. Demand Widening gap between demand and supply due to T& D losses amounting to 25% in the Supply distribution link. Losses BYPL BRPL AT&C Loss % 50.71 39.68 Distribution Loss % 48.11 42.7 No. of Consumers 836000 1070000 The estimated T&D losses for the fiscal 04-05 for BRPL and BYPL, Delhi Target – T & D loss Reduction Solution – 1) Implementation of GIS modules 2) Distribution management thru’ GIS
  • 42. Estimates of Implementing GIS at Delhi Initiatives taken by GIS PMO group established at CEO Office of the company are as follows - • Development of Functional Requirements and Data Model. • Updating of Reliance Corporate Land base Maps. • Capturing the entire EHV/HV network. • Capturing the entire LV network. • Capturing Consumer Information. • In House Digitization and field QC. • Consultancy Services by REL
  • 43. Updating of Reliance Corporate LAND base Maps • Integrated large scale corporate land base map prepared based on RICs data requirements with base data as IKONOS imagery imported from Space Imaging. • IKONOS imagery digitized by RDWL team through network of digitization vendors. • Maps supplemented with field survey information conducted by contractors identified by RDWL. Flaw in above system – Information updated by RDWL was insufficient for locating Electrical network and individual Consumer Service points. Codification Guidelines of RDWL Solution – * Updating of all buildings with service • Providing unique id to all building for its line feeding identification. * Including all new transport features including • Linking it with its consumer/service line. road, railway, flyovers. Total Cost Cost Per Unit Unit Cost Qty. (Mn) Consumer Land Base Sq Km 20,000 900 18 9.44 Land Base Updating Polygons 8 1,000,000 8 4.2 Cost Estimates for Land base and Updating
  • 44. Development of Functional Requirements and Data Models • ESRI / M&M appointed as GIS service providers by REL ( on behalf of BRPL and BYPL ) for - studying existing system. - developing functional requirement for proposed GIS. • GIS Tools – * COTS available platforms from ESRI. * Third party applications from Miner and Miner. * Customer Applications for GIS interfaces for integration with other applications - SAP (ISU-CCS for Consumer Information). - SAP (PM) for Operations and Maintenance. - Cymedist Interface for Network Analysis. - GIS Interface for SCADA system. Development of tool based on functional requirement and application design document approved by REL for ESRI / M&M Testing and approval for implementation at cluster Citrix application servers at DAKC. Applications made available for access from anywhere in the Reliance Network including both the DISCOMS in Delhi.
  • 45. Capturing Entire EHV/HV Network Phase 1 The GIS data dictionary included the entire network of EHV and HV. • EHV Grid Stations and their equipments. • 11/0.44 kv substations and their equipments. • 66.33 and 11 kv feeders. Survey agencies identified for capturing Total Cost Per EHV/HV networks. Cost Consume Unit Unit Cost Qty. (Mn) r Digitization of captured data using in-house 33/66 KV Conductor Km digitization tools developed 33/66 KV Cables Km 650 476 0.3094 0.16 by RDWL and REL 11 KV Conductor Km Digitized data migrated to 11 KV Cables Km 650 1,441 0.9367 0.49 REL Corporate electric data base server at DAKC. EHV Station Nos 2,500 124 0.31 0.16 HV Stations Nos 500 8,000 4 2.1 Database made accessible Cost Estimates for EHV / HV Data Collection through ESRI COTS and customer application from anywhere in Reliance WAN including both DISCOMS in Delhi.
  • 46. Capturing the entire LV Network Phase 2 Consumer Feeding Structure Capturing LV network points codified with unique codes for linking them with respective set of consumers. Features captured – This would enable linking of every • Consumer Feeding Points consumer with its feeding point & 11/440 v substation, required for * LV Support Structures energy audit, NA, O&M and other applications. * LV Feeder Pillars * Street Light Structures • LV Feeder Network (0.44 kv ) connectivity Total Cost Per Unit Cost Consum Unit Cost Qty. (Mn) er Feeder Pillars/Support Structures SS 8 800,000 6 3.36 Cost Estimates for LV Data Collection
  • 47. In-House Digitization and Field QC Data being captured is governed with stringent QA requirements based on feature being captured Team deputed for carrying out QC who conducts field checks before accepting data for digitization Data is then handed over to digitization team where digitization is done using industry standard CAD/GIS packages.
  • 48. Capturing Consumer Information Non-availability of accurate consumer records had been one of the main reasons for commercial losses. GIS based consumer indexing has been carried out by many DISCOMS / SEBs, without much of a fruitful result. At BSES, Delhi it is at a conceptual; stage and different models are being evaluated for collecting consumer information The consumer data being collected will be integrated with its building id for its spatial location and network connectivity with its feeding structure id in GIS. Total Cost Per Cost Consume Unit Unit Cost Qty. (Mn) r Consumers Consumer 7 1,906,000 13 7 Cost Estimates for Consumer Data Collection
  • 49. Skeleton of GIS CIS SCADA NO OMS CIS DATA SAP
  • 50. INTEGRATION AS A CONCEPT
  • 51. INTEGRATION AS A CONCEPT Why integration? When Should Integration be Use work process flows to define touch points Considered? of integration to support business processes Data/applications exist in many places Use enterprise and process modeling to describe how data and components Merger/acquisition of requirements service the needed business processes Supporting thousands of users – Shared data doubles the accuracy and with many different requirements quality requirements Scalability – look at the data from each systems perspective (financial vs. operations) Metrics -- Measuring Integration Benefits of Integration Success Customized for the organization Tie Benefits and Metrics Reduces cost of connecting – Customer service measurements components and adding/changing components. related to more up-to-date information Adds value to business processes How can Integration… Enforces process consistency – increase revenue? Data Consistency – improve customer service? – give more information about our business?
  • 52. Integration with Other Applications ! Fault Detected High Tension Network SCADA The image cannot be display ed. The image Your cannot be computer SAP display ed.ha may not Notification Your computer … & Work order SAP PM ArcFM The image cannot be display ed. Your computer ` may not ha Analyze Fault Low Tension OMS/ Network ! Fault Reported The image Electric Data / cannot be display ed. Your computer may not ha
  • 53. Enterprise Wide Integrated GIS. OMS- Responder Consumer Network Information Analysis System(CIS) GIS- AM/FM SAP SCADA-DMS Custom Tools ( Energy Audit Scheduler et al.)
  • 55. LT NETWORK Service Line Service Point
  • 59. Distribution Management thru’ integrated GIS • Load Calibration (LC), Load Flow Calculation (LFC) • Switching Orders based on minimum Loss path • Static spatial connection and dynamic behavior of organizational model & equipment model • Switch and switch status telemetry superimposed with cable/conductor type & length • Electrical parameters (R, X, B, G ) derived there from to give loss data and options • Voltage profiling with load data superimposed on above • Power quality and THD • Distance relay zones superimposed on map to give nearest fault location • Fault Isolation and switching restoration options
  • 60. Consultancy Services EcoUrja provides management services including – • Survey and digitization • Procurement and contracting • Contract management and monitoring • QA and QC • Hardware and Software • Application testing • Migration and hosting services for application and database at DAKC
  • 61. Load growth planning Using Geo-referenced data
  • 62. Utility business processes operating as separate legal entities in a deregulated environment. (Courtesy of ABB.) 62
  • 63. Estimated Benefits of GIS • As per estimation, GIS will benefit by decreasing both Commercial and Technical losses. • Based on assumption for 0.5%, 1.5% and 2.5% increase in MU billed for the first, second and third year respectively by reduction of losses and better O & M. Pre GIS Implementation Post GIS Implementation Approx. Approx. Approx. I Yr. Increas II Yr. Increas III Yr. Increas (1.0% e in (1.5% e in (2.5% e in BYPL BRPL Approx Incr Revenu Incr Revenu Incr Revenu MU MU Total Tariff MU) e MU) e MU) e Domestic 1591 2801 4392 2 43.92 87.84 66.54 133.08 112.56 225.12 Commercial 580 740 1320 4 13.2 52.8 20 79.99 33.83 135.32 Industrial 272 406 678 4 6.78 27.12 10.27 41.09 17.38 69.51 Agriculture 1 66 67 1 0.67 0.34 1.02 0.51 1.72 0.86 Bulk 368 1100 1468 1 14.68 7.34 22.24 11.12 37.62 18.81 Total Units Billed 2812 5113 7925 79.25 175.44 120.06 265.78 203.11 449.62 Benefits after GIS Implementation Note: From the table, increase in revenues with prevailing tariff is 175mn, 265Mn and 450Mn respectively for three years.
  • 64. SAMPLE REQUIREMENT ANALYSIS SHEET HT Maintenance Department Sr. Activities Description of activity How GIS can help No 1 Maintenance of 33 kV, 22 kV Information of the 33KV or 22 kV The affected are can be viewed on the GIS, so that the and 11 KV cables in the feeder tripping is conveyed to the cusomers may be informed accordingly. system zonal engineering dept Arrangements are made for the a) Locating a Substation during an emergency, for necessary load transfer operations carrying out Switchover operations as per the directions of the Load b) Determining the shortest route between two Cell substations or any two facilities Staff is deputed along with Knowledge of existing joints on the cable and the personnel of Testing Dept. to topology of the area beforehand pinpoint the location of fault Excavation is arranged for exposing Generation of Intimation letters to appropriate BMC the fault after issuing necessary Ward, with drawings of the portion to be excavated intimations to concerned local authorities. After exposure, the fault is The number of cables lain along the same route can be ascertained, the cable identified verified. The correct cable can then be exposed. and punctured. If fault is not discernible, re-testing is requested Cable jointing arranged and a) Joint details can be updated on to the GIS directly intimation given to drawing dept. b) All attribute details, viz jointing date, jointers name, regarding the same. type of joint etc can be attached to the joint On completion of jointing and Keeping track of whether the excavated area has been refilling of excavated area, pressure reinstated testing of the cable is carried out After successful pressure test, Other faults/ disturbances/ abnormalities in the vicinity of message for charging the cable is this area can be checked given. System normalising operations carried out as per Load Cell System normalising operations Keeping track of affected areas, on the GIS map carried out as per Load Cell.
  • 65. 2 M aintenance of 11 kV/ 430V Preventive Maintenance substations Substation Inspection & LT Load a)Area-wise peak load period can be displayed on the reading :The load reading is GIS carried out as per the known peak b) An automatic schedule for load reading & Inspection load period of the substation and can be generated keeping into account the shortest may be morning or evening, travel time for the maintenance crew morning & evening and in some instances night Transformer Oil filtration: Monthly a) The GIS can provide updated graphical information transformer oil filtration schedules on where the outages have been taken are distributed to the Load Cell, b) Line clear cards can be automatically generated and Controlling Receiving Station and to ven mailed to the consumer in advance the various districts. The respective c) The BDV of the Oil can be attached as an attribute D.I.’s arrange for outages as data to the Transf scheduled by distribution of Line- Clear car Switchgear overhauling: overhauling Same as above (frequency : once in THREE YEARS) The monthly switchgear overhauling schedules are distributed to the Load Cell, Controlling Receiving Station and to the various districts. The respective D.I.’s arrange for the scheduled outage by 3 Proposing improvements in These proposals are for a)Detailed interior layout of the Substation is available network improvement of supply conditions in instantly the area and include: b) Approach roads and possible shorted cable routes 1) Reinforcement of H.T.U.G. Cable can be identified. ( i.e. replacement of existing cable c) Automatic generation of Bill of Material/ Cost with higher size cable) Estimates 2) Change / addition of switch-gear d) Displaying areas requiring improvements based on 3) Change / addition of L.T. Panel load 4) In
  • 66. 4 Miscellaneous works R Jobs These are request jobs executed at a) Generating Estimates for execution of the Job the behest of consumers, other b) Locating the area of interest utilities or the local authorities or repair works carried out to rectify damages on our cables as a result of works carried out by the party. Estimates for the same are prepared and forwar
  • 67. Estimating Return on Investments Based on the assumptions of the benefits made, it can be seen that the project has a pay back less than one year of its implementation. Increase in Net Cash Cost Revenue Flow IRR GIS Implementation 128 0 -128 GIS Implementation (End of I Yr) 40 175 135 6% Maintenance Cost estimated as 25% Of total Implementation (Yr. II) 42 266 224 95% Maintenance Cost estimated as 15% Of total Implementation (Yr. iii) 25 450 424 138% Return on investments From the Table it can be seen that the project not only has very less payback period, but has fabulous returns over second and third year with net cash flows as 135mn, 224mn and 424Mn with IRR as 6%, 955 and 138% for first, second and third year respectively
  • 68. Thank You The Project has since been commissioned and the T&D Losses have been reduced adding significantly to the IRR Presented at the 3rd Annual Indonesia Power Conference 27th to 30th November 2012, Jakarta, Indonesia Dr Himadri Banerji, MD EcoUrja Ex Chief Executive Reliance Energy Ltd India