MIGRATING TOWARDS A SMART DISTRIBUTION GRID Authors: Prashanth DUVOOR Ulrike SACHS Satish NATTI Siemens PTI

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

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

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 Carsten Böse– Germany – Session 5 – Paper 0578

Planning Tool considers DNA and DMS Energy Automation Portfolio DSO IT Renewables Smart metering Infrastructure and smart meters System optimization measures based on meter data Meter data management Oil & Gas Power Generation Power Transmission Storage Distribution network Management Integration of DMS and OMS systems Link-up of geo information (GIS) and workforce management (WFM) Virtual power plant Distribution Industry Distribution network automation Smart feeder automation Self-configuring substation automation Energy Automation Portfolio Carsten Böse– Germany – Session 5 – Paper 0578

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

Advanced Distribution Network Analysis Volt / var Control Whether Forecast Switching Control Load Forecast Power Electronics Controllable Loads Distributed Generation Demand Response Advanced Distribution Network Analysis including electrical behavior and Distribution Management Systems algorithms for pre- and post analysis Carsten Böse– Germany – Session 5 – Paper 0578

Example: Loads Carsten Böse– Germany – Session 5 – Paper 0578

Eample: Transformer Utilization Carsten Böse– Germany – Session 5 – Paper 0578

Conclusions 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