DocumentCode
1699912
Title
Optimal Planning of Substation of Locating and Sizing Based on GIS and Adaptive Mutation PSO Algorithm
Author
Zifa, Liu ; Jianhua, Zhang
fYear
2006
Firstpage
1
Lastpage
5
Abstract
A new intelligent algorithm, adaptive mutation particle swarm optimization algorithm (AMPSO), is presented to handle optimal substation locating and sizing problem. The proposed AMPSO, which combines the idea of GA in PSO, displays more excellent global optima searching performance than PSO. The model of the problem involving both the substation construction investment and the geographic information makes the given solution more practical in distribution planning process. The proposed approach is tested by a realistic planning project to show its effectiveness and efficiency.
Keywords
genetic algorithms; geographic information systems; particle swarm optimisation; power distribution planning; power engineering computing; substations; GIS; adaptive mutation particle swarm optimization algorithm; distribution planning process; genetic algorithms; geographic information system; intelligent algorithm; optimal location; optimal sizing; substation construction investment; substation locating-sizing problem; substation optimal planning; Cost function; Digital signal processing; Genetic mutations; Geographic Information Systems; Investments; Mathematics; Particle swarm optimization; Power system planning; Process planning; Substations; Distribution system planning; Genetic algorithm; Particle swarm optimization; Substation locating and sizing;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology, 2006. PowerCon 2006. International Conference on
Conference_Location
Chongqing
Print_ISBN
1-4244-0110-0
Electronic_ISBN
1-4244-0111-9
Type
conf
DOI
10.1109/ICPST.2006.321720
Filename
4115936
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