5 stig ict platform ottesen

ICT Platform
Presentation at the symposium «Local energy markets – dream or facta»
Barcelona 26th January 2017
Stig Ødegaard Ottesen
Head of R&D

Presentation outline
© www.esmartsystems.com
• New requirements to ICT platforms to make local energy markets
facta
• eSmart’s platform in general
• eSmart’s ICT platform adaptations from EMPOWER with focus on
flexibility contracts to solve DSO problems

Ongoing technology changes at the
demand side of power systems
• Energy technologies
• More uncontrollable, unpredictable and
intermittent power generation
• More power demanding appliances
• Storage technologies
• ICT technologies
• Advanced metering infrastructure (AMI)
• The Internet of Things - Interconnection of
appliances and “things”

Technical implications for (local) power systems
• Larger peaks
• Reverse load flows
• Increased dynamics
• Less predictability
• May lead to voltage
and capacity problems
in the distribution grid

Power market implications
• New or changed roles and responsibilities
• Passive consumer => flexible prosumer
• Energy Service Companies
• Aggregators
• New contract types and business models
• Indirect (price-based) control: A central agent sends a price
signal and the customer responds
• Direct control: A central agent remotely controls the
customers’ equipment
• New or changed market designs and market rules
• Demand side flexibility participating in wholesale markets
• Market clearing closer to operation
• Local energy markets
• Local flexibility markets

New requirements to ICT platforms
• Large amounts of data
• Ability to handle big data and to be scalable
• More difficult to predict load, generation and prices
• Advanced prediction models needed
• More dynamics in business models and market rules
• ICT solutions must be flexible and easy to adapt
• Many more decisions to make
• Big data analytics and advanced decision support
The Nexus of Forces
Source: Gartner 2013
Disruptive Innovation the Way Forward
For High Value Adding Economy

The eSmart approach: to utilize the cloud
Machine
Learning
and
Analytics
Business
Specific
Processing
Workflow
Map
Integration
Real-Time
Handling
Graph-based
Asset
Management
Real-Time API Web-based API Cloud-based Integration
Desktop Client Apps API Large Screen Display
Storage
Analytics
Framework
Queues Service Hosts
Real-Time
Framework
In-memory

The flexibility concept in EMPOWER
• Target: To exploit local flexibility to solve local
problems for the DSO
• The SESP (Smart Energy Service Provider) and
DSO (Distribution System Operator) enter
contract for flexibility services
• The SESP enters flexibility contracts with
flexible consumers and prosumers
• Up: Increased generation, decreased load,
storage discharging
• Down: Decreased generation, increased load,
storage charging
Consumer
1
SESP
Prosumer
1
Prosumer
2
DSO

Flexibility contract information
• Constraints
• Power limits
• Timing limits
• Maximum duration
• Minimum rest time
• Maximum number per week
• Temperature restrictions
• Cost
• Compensation when reserved
• Compensation when activated

Control request
• The DSO submits control
requests (up- or down-
regulation) within 15
minutes intervals from a
web interface

Available flexibility
• SESP predicts available flexibility (machine learning algorithms)
based on a combination of
• Predicted load/generation
• Contract information
• Available flexibility
(upper bound) is
presented with control
request

Control plan
• SESP generates a control plan
• That fulfils the control request
• That does not violate
any technical or
contractual constraint
• That minimizes the
total cost
• Optimization model
(MILP)
• Control signals are
sent to the prosumers
• Gateways
• Prosumer apps

Prosumer app Decline functionality

Prosumer app

Thank you for your attention
Stig Ødegaard Ottesen
Stig.Ottesen@esmartsystems.com
+47 90 97 31 24

5 stig ict platform ottesen

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