DocumentCode :
968716
Title :
Hybrid constrained genetic algorithm/particle swarm optimisation load flow algorithm
Author :
Ting, T.O. ; Wong, Kit Po ; Chung, C.Y.
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong
Volume :
2
Issue :
6
fYear :
2008
fDate :
11/1/2008 12:00:00 AM
Firstpage :
800
Lastpage :
812
Abstract :
A hybrid constrained genetic algorithm and particle swarm optimisation (PSO) method for the evaluation of the load flow in heavy-loaded power systems is developed. The new algorithm is applied to find the maximum loading points of three IEEE test systems. The experimental determination of the best values of the parameters for use in the PSO part of the hybrid algorithm is also reported.
Keywords :
genetic algorithms; load flow; particle swarm optimisation; IEEE test systems; heavy-loaded power systems; hybrid constrained genetic algorithm; load flow algorithm; particle swarm optimisation;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd:20070224
Filename :
4663091
Link To Document :
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