A significant amount of distributed generation (DG) is being connected to electricity distribution networks. This brings with it a number of network planning and operational challenges, including voltage control, protection issues, altered transient stability, bi-directional power flow and increased fault levels. Controlling network voltages, while also providing access for the increasing numbers of DG installations is one of the most important challenges. This paper describes a novel approach to voltage control for networks with multiple connected distributed generators, which employs case-based reasoning and online verification to select an appropriate set of control actions in the face of voltage excursions. The approach, case studies which illustrate its feasibility when applied to different networks and details of a prototype implementation using a commercially available substation computing platform are presented.
Bibliographical noteFunding Information:
The work presented has been performed within the project entitled “autonomous regional active network management system” (AuRA-NMS) funded by the UK Engineering and Physical Sciences Research Council (EPSRC), ABB, ScottishPower Energy Networks and EDF Energy Networks. The authors would like to acknowledge the input of their academic partners at Imperial College and the University of Cardiff. The authors would also like to thank Dr. Graeme West from the University of Strathclyde for his support during this work.
Copyright 2011 Elsevier B.V., All rights reserved.
- Artificial intelligence
- Distribution network
- Power system control
- Voltage control