DocumentCode :
3394224
Title :
Distribution service restoration with DGs based on multi-agent immune algorithm
Author :
Li, X.D. ; Xu, Y.Q. ; Zhang, L.
Author_Institution :
Dept. of Electr. Eng., North China Electr. Power Univ., Baoding, China
Volume :
1
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
In terms of the distribution system with distributed generators especially considering the operation of microgrid (MG) composed of distributed generation (DG) and loads, the model based on multi-agent immune algorithm is proposed to solve the service restoration problem in the event of a large-scale blackout in a power distribution network with DGs. The antibodies are coded according to the method of `random tree´ to avoid lots of unfeasible solutions. High-Frequency method is introduced as the mutation operation of antibodies. In the process of searching for the best solution, antigens were changed dynamically in order to get the best solution as quickly as possible. At last, the calculation example manifests the efficiency and quickness of the multi-agent immune algorithm.
Keywords :
distributed power generation; power grids; distributed generation; distribution service restoration; high-frequency method; large-scale blackout; microgrid; multiagent immune algorithm; power distribution network; random tree method; Artificial intelligence; Distributed control; Genetic algorithms; Genetic mutations; Intelligent transportation systems; Load modeling; Power electronics; Power system modeling; Power system restoration; Switches; distributed generation; distribution system; genetic algorithm; microgrid; multi-agent immune algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-4544-8
Type :
conf
DOI :
10.1109/PEITS.2009.5407060
Filename :
5407060
Link To Document :
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