Automated Network Management Solution

Igor DremeljWebinar 2014

© Landis+Gyr | 21 October 2014

Automated Network Management Solution

2Igor Dremelj | © Landis+Gyr | 21 October 2014

Contents

Network Digitalization Introduction to Automated Network Management Solution Solution Validation at TECNALIA’s smart grid lab


Terminology

AMI – Advanced Meter InfrastructureBESS – Battery Energy Storage SystemDER – Distributed Energy ResourcesµEMS – micro Energy Management Solution, a Toshiba

Group productOLTC – On Load Tap ChangerSGT S650 – Smart Grid Terminal S650, a Landis+Gyr’s productVPP – Virtual Power PlantVR – Voltage Regulator

Igor Dremelj | © Landis+Gyr | 21 October 2014

Can the Distribution Network be made smart?

4

Inve

stm

ent

Time

Measure & Monitor

Analyse

ActAutomate

- AMI- Sensors- RTU’s- Protection relays

- AMI- Data Analytics

- AMI, VPP- SCADA/DMS

- Grid Controllers- Voltage regulators- OLTC based Transformers


Why Network Digitalization?

Functions Customer Benefits 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 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 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


Integration of Distributed Energy Resources 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!


Validation results: Keeping current within feeder rating limits!


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

Thank you for your attention

Igor Dremelj | © Landis+Gyr | 21 October 2014

Technology

Automated Network Management Solution