Electric Power ›› 2016, Vol. 49 ›› Issue (1): 85-90.DOI: 10.11930/j.issn.1004-9649.2016.01.085.06

• Power System • Previous Articles     Next Articles

Service Restoration for Large Area Blackout of Smart Distribution System Based on MAPSO

ZHAO Fengxian, WU Jing, SUN Liying   

  1. School of Electrical Engineering, Liaoning University of Technology, Jinzhou 121000, China
  • Received:2015-05-08 Online:2016-01-18 Published:2016-02-04
  • Supported by:
    The work is supported by Natural Science Foundation of Liaoning Province(No. 2015020076) and Science Research Project of Liaoning Province Education Department (No. L2013244).

Abstract: In the event of a large blackout in smart distribution system with distributed generators, a service restoration plan must be devised quickly to reduce outage area. Under safe operation constraint, a service restoration model for smart distribution system with DGs is established with consideration of minimizing load shedding and number of switching operation. A Multi-Agent particle swarm optimization algorithm(MAPSO) is proposed for rapid service restoration of non-fault regions. The algorithm introduces Multi-Agent concept to binary particle swarm optimization algorithm. Each Agent is a particle which competes and cooperates with their neighbors, and MAPSO finds the minimum value of objective function with global knowledge. Example result indicates the feasibility and effectiveness of proposed method.

Key words: distributed generator, smart distribution system, blackout, islanding operation, service restoration, Multi-Agent

CLC Number: