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