DocumentCode :
3471624
Title :
A novel approach for dynamic reconfiguration of the distribution network via multi-agent system
Author :
Li, Zhenkun ; Chen, Xingying ; Yu, Kun ; Zhao, Bo ; Liu, Haoming
Author_Institution :
Coll. of Electr. Eng., Hohai Univ., Nanjing
fYear :
2008
fDate :
6-9 April 2008
Firstpage :
1305
Lastpage :
1311
Abstract :
A novel systematic algorithm for the dynamic reconfiguration of the distribution network was proposed based on multi-agent system in this paper. In which, one day was divided into several time intervals and each was managed by a work agent. An improved hybrid particle swarm optimization algorithm was applied in each time interval to produce a solution set which included some enough good solutions. Then the coordination agent would select a solution from each work agent´s solution set, and coordinate them until the number constraint of switching operations was satisfied. The whole architecture of the multi-agent system was presented, and the function modules of the work agent and coordination agent were also discussed. Computer simulations were conducted to show the effectiveness of the proposed algorithm.
Keywords :
distribution networks; multi-agent systems; particle swarm optimisation; coordination agent; distribution network; dynamic reconfiguration; function modules; multi-agent system; particle swarm optimization algorithm; power system; switching operations; work agent; Computer architecture; Computer simulation; Dynamic programming; Heuristic algorithms; Hybrid power systems; Multiagent systems; Particle swarm optimization; Power system dynamics; Switches; Time varying systems; distribution network; dynamic reconfiguration; hybrid particle swarm optimization; line loss; multi-agent system; power system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
Type :
conf
DOI :
10.1109/DRPT.2008.4523608
Filename :
4523608
Link To Document :
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