MIGRATING TOWARDS A SMART DISTRIBUTION GRID

Authors:Prashanth DUVOOR

Ulrike SACHS Satish NATTI

Siemens PTI

Frankfurt (Germany), 6-9 June 2011

Past: Only loads have been considered for distribution network

planning Information about maximum loads have based on measures in

RMU and number of customers Maximum loading of different equipment by diversity factors.

Today Generation has to be considered. Maximum utilization not definitely during peak load conditions Voltage / power quality becomes a critical factor in future

Carsten Böse– Germany – Session 5 – Paper 0578

The needs in Network Planning will extremely change (1/2)

Frankfurt (Germany), 6-9 June 2011

Future: Data about consumption for each customer will be available

(online/real-time) Actual status of the network can be calculated based on

measurements also in distribution networks. Network operation and electronic components have to be

taken into consideration Distribution network become more and more active network. New kind of loads are controllable (e.g. heat pumps, eCars, …)

Power System Planning has to consider “copper” and IT

Carsten Böse– Germany – Session 5 – Paper 0578

The needs in Network Planning will extremely change (2/2)

Frankfurt (Germany), 6-9 June 2011

Example: 314kWp PV Plant near Erlangen

Sunny day in April: 1,9 MWh

Cloudy day in April: 1,2 MWh

Carsten Böse– Germany – Session 5 – Paper 0578

Frankfurt (Germany), 6-9 June 2011

Carsten Böse– Germany – Session 5 – Paper 0578

Consideration of recorded loads and generation is the basis for future design

Meter Data Management Systems basis for load / generation model

meter data in 15 minutes intervals imported to PSS®SINCAL

Identification of critical situations by “dynamic” simulations

Frankfurt (Germany), 6-9 June 2011

Carsten Böse– Germany – Session 5 – Paper 0578

DSO IT

Distribution networkManagement Integration of DMS and OMS

systems Link-up of geo information (GIS)

and workforce management (WFM)

Virtual power plant

Distribution network automation Smart feeder automation Self-configuring substation automation

Smart metering Infrastructure and smart meters System optimization measures

based on meter data Meter data management

Energy Automation Portfolio

Renewables

Storage

Power Transmission

Industry

Distribution

Oil & Gas

Power Generation

Planning Tool considers DNA and DMS

Frankfurt (Germany), 6-9 June 2011

Example Network

Feeder 1 has nearly 3 MW installed capacity of PV generation, and residential load.

Feeder 2 has a few PHEV charging stations, and residential load.

Feeder 3 has 1.8 MW installed capacity of wind generation, and commercial load.

Carsten Böse– Germany – Session 5 – Paper 0578

Frankfurt (Germany), 6-9 June 2011

Advanced Distribution Network Analysis WhetherForecast

LoadForecast

ControllableLoads

Distributed Generation

Carsten Böse– Germany – Session 5 – Paper 0578

Volt / varControl

Switching Control

Power Electronics

DemandResponse

Advanced Distribution Network Analysis including electrical behavior and Distribution Management Systems algorithms

for pre- and post analysis

Frankfurt (Germany), 6-9 June 2011

Example: Loads

Carsten Böse– Germany – Session 5 – Paper 0578

Frankfurt (Germany), 6-9 June 2011

Eample: Transformer Utilization

Carsten Böse– Germany – Session 5 – Paper 0578

Frankfurt (Germany), 6-9 June 2011

Availability of online data import is crucial for precise evaluations of networks

Operational aspects have to be considered in future network planning

Power System analysis will identify new requirements for Distribution Network Automation (DNA) and Management (DMS)

Carsten Böse– Germany – Session 5 – Paper 0578

Conclusions