DocumentCode
541212
Title
Intelligent optimization algorithm for the locating and sizing of distributed generation planning
Author
Liu, Bo ; Yuan, Zhiqiang ; Bao, Hailong
Author_Institution
Shanghai Electr. Power Design Inst. Co., Ltd., Shanghai, China
fYear
2010
fDate
13-16 Sept. 2010
Firstpage
1
Lastpage
6
Abstract
This paper analyses the influence of network loss when distribution generation (DG) access to distribution network, and presents an intelligent optimization algorithm to optimize the locating and sizing of DG based on modified particle swarm optimal (PSO) algorithm. The purposed algorithm is to find how much distribution network loss can be further reduced. With an example the superiority of the proposed algorithm is demonstrated in comparison with the genetic algorithms. The calculation results show that the proposed algorithm to solve the problem of distributed generation planning has strong global search ability and rapid convergence speed.
Keywords
genetic algorithms; power distribution planning; power generation planning; distributed generation planning; distribution network loss; genetic algorithms; global search ability; intelligent optimization algorithm; modified particle swarm optimal algorithm; rapid convergence speed; Annealing; Convergence; Gallium; Optimization; Reliability; Substations; Distribution generation; distribution network; intelligent optimization algorithm; locating and Sizing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electricity Distribution (CICED), 2010 China International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4577-0066-8
Type
conf
Filename
5735915
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