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Automated Network Management Solution 
Igor Dremelj 
Webinar 2014 
© Landis+Gyr | 21 October 2014
Contents 
Network Digitalization 
Introduction to Automated Network Management Solution 
Solution Validation at TECNALIA’s smart grid lab 
Igor Dremelj | © Landis+Gyr | 21 October 2014 
2
Terminology 
AMI – Advanced Meter Infrastructure 
BESS – Battery Energy Storage System 
DER – Distributed Energy Resources 
μEMS – micro Energy Management Solution, a Toshiba Group 
product 
OLTC – On Load Tap Changer 
SGT S650 – Smart Grid Terminal S650, a Landis+Gyr’s product 
VPP – Virtual Power Plant 
VR – Voltage Regulator 
Igor Dremelj | © Landis+Gyr | 21 October 2014 
3
Can the Distribution Network be made smart? 
Igor Dremelj | © Landis+Gyr | 21 October 2014 
4 
Investment 
Time 
Measure & 
Monitor 
Analyse 
Act 
Automate 
- AMI 
- Sensors 
- RTU’s 
- Protection relays 
- AMI, VPP 
- SCADA/DMS 
- AMI 
- Data Analytics 
- Grid Controllers 
- Voltage regulators 
- OLTC based Transformers
Why Network Digitalization? 
Functions Customer Benefits 
Igor Dremelj | © Landis+Gyr | 21 October 2014 
5 
 Power System Visualization Increased awareness 
 Data Analytics Faster fault recovery process 
 Fault Locating Better asset management 
 Renewable Energy Source Control Manage decentralized generation 
 Active Voltage Regulation Improved power quality, reduced losses 
 Predictive Capacity Management Balancing energy demand and supply 
within the network capability limits
Active Voltage Regulation with Grid Controller 
Igor Dremelj | © Landis+Gyr | 21 October 2014 
6 
Existing voltage control systems such as line drop compensation may no longer be suitable if 
generation is connected to the feeder. Overvoltage situations have a negative impact on the 
service life of electrical devices, cause higher technical losses and can trigger the feeder line / 
transformer safeguards.
Active Voltage Regulation with Grid Controller 
Igor Dremelj | © Landis+Gyr | 21 October 2014 
7 
Introducing real-time measurement, VR, BESS, STATCOM or similar controllable elements one 
can automate the distribution network management by introducing Grid Controller managing 
the voltage regulator, P/Q compensation with battery storage, etc. based on current demand & 
supply needs on the observed part of the distribution network.
Landis+Gyr’s ANM Solution validation at TECNALIA’s lab 
ANM solution with 
 SGT S650 for real-time measurements 
 μEMS controller for local control 
 μEMS server for remote access 
monitoring and visualization 
Validated applications 
 Active Voltage Regulation 
 Predictive Capacity Management 
Validation scenarios 
 defined based on Tecnalia’s 
experiences and measurements from 
various distribution networks 
Igor Dremelj | © Landis+Gyr | 21 October 2014 
8
Integration of Distributed Energy Resources 
Igor Dremelj | © Landis+Gyr | 21 October 2014 
9 
Combination of intermittent renewable generation and changing consumption habits 
causes difficulties, such as voltage fluctuation and network overload situations.
Validation results: Significant reduction of voltage fluctuation! 
Igor Dremelj | © Landis+Gyr | 21 October 2014 
10
Validation results: Keeping current within feeder rating limits! 
Igor Dremelj | © Landis+Gyr | 21 October 2014 
11
Summary 
Distribution Networks can be made Smart! 
 Landis+Gyr’s ANM solution is based on field 
proven, commercially available devices and 
is validated by an independent service 
provider 
 ANM provides many benefits from better 
quality of supply to optimizing current 
assets usage 
 The solution is able to predict mismatch 
between supply and demand in the 
selected region, automatically apply 
corrective measures to the grid and 
maximize its operational efficiency and 
reliability as a result 
Igor Dremelj | © Landis+Gyr | 21 October 2014 
12
Thank you for your attention 
Igor Dremelj | © Landis+Gyr | 21 October 2014

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Automated Network Management Solution

  • 1. Automated Network Management Solution Igor Dremelj Webinar 2014 © Landis+Gyr | 21 October 2014
  • 2. Contents Network Digitalization Introduction to Automated Network Management Solution Solution Validation at TECNALIA’s smart grid lab Igor Dremelj | © Landis+Gyr | 21 October 2014 2
  • 3. Terminology AMI – Advanced Meter Infrastructure BESS – Battery Energy Storage System DER – Distributed Energy Resources μEMS – micro Energy Management Solution, a Toshiba Group product OLTC – On Load Tap Changer SGT S650 – Smart Grid Terminal S650, a Landis+Gyr’s product VPP – Virtual Power Plant VR – Voltage Regulator Igor Dremelj | © Landis+Gyr | 21 October 2014 3
  • 4. Can the Distribution Network be made smart? Igor Dremelj | © Landis+Gyr | 21 October 2014 4 Investment Time Measure & Monitor Analyse Act Automate - AMI - Sensors - RTU’s - Protection relays - AMI, VPP - SCADA/DMS - AMI - Data Analytics - Grid Controllers - Voltage regulators - OLTC based Transformers
  • 5. Why Network Digitalization? Functions Customer Benefits Igor Dremelj | © Landis+Gyr | 21 October 2014 5  Power System Visualization Increased awareness  Data Analytics Faster fault recovery process  Fault Locating Better asset management  Renewable Energy Source Control Manage decentralized generation  Active Voltage Regulation Improved power quality, reduced losses  Predictive Capacity Management Balancing energy demand and supply within the network capability limits
  • 6. Active Voltage Regulation with Grid Controller Igor Dremelj | © Landis+Gyr | 21 October 2014 6 Existing voltage control systems such as line drop compensation may no longer be suitable if generation is connected to the feeder. Overvoltage situations have a negative impact on the service life of electrical devices, cause higher technical losses and can trigger the feeder line / transformer safeguards.
  • 7. Active Voltage Regulation with Grid Controller Igor Dremelj | © Landis+Gyr | 21 October 2014 7 Introducing real-time measurement, VR, BESS, STATCOM or similar controllable elements one can automate the distribution network management by introducing Grid Controller managing the voltage regulator, P/Q compensation with battery storage, etc. based on current demand & supply needs on the observed part of the distribution network.
  • 8. Landis+Gyr’s ANM Solution validation at TECNALIA’s lab ANM solution with  SGT S650 for real-time measurements  μEMS controller for local control  μEMS server for remote access monitoring and visualization Validated applications  Active Voltage Regulation  Predictive Capacity Management Validation scenarios  defined based on Tecnalia’s experiences and measurements from various distribution networks Igor Dremelj | © Landis+Gyr | 21 October 2014 8
  • 9. Integration of Distributed Energy Resources Igor Dremelj | © Landis+Gyr | 21 October 2014 9 Combination of intermittent renewable generation and changing consumption habits causes difficulties, such as voltage fluctuation and network overload situations.
  • 10. Validation results: Significant reduction of voltage fluctuation! Igor Dremelj | © Landis+Gyr | 21 October 2014 10
  • 11. Validation results: Keeping current within feeder rating limits! Igor Dremelj | © Landis+Gyr | 21 October 2014 11
  • 12. Summary Distribution Networks can be made Smart!  Landis+Gyr’s ANM solution is based on field proven, commercially available devices and is validated by an independent service provider  ANM provides many benefits from better quality of supply to optimizing current assets usage  The solution is able to predict mismatch between supply and demand in the selected region, automatically apply corrective measures to the grid and maximize its operational efficiency and reliability as a result Igor Dremelj | © Landis+Gyr | 21 October 2014 12
  • 13. Thank you for your attention Igor Dremelj | © Landis+Gyr | 21 October 2014