DocumentCode :
783802
Title :
Multiobjective Coordinated Power Voltage Control Using Jumping Genes Paradigm
Author :
Ma, H.M. ; Ng, Kai-Tat ; Man, Kim F.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon
Volume :
55
Issue :
11
fYear :
2008
Firstpage :
4075
Lastpage :
4084
Abstract :
A new jumping genes paradigm in the format of hierarchical genetic algorithm is proposed for optimizing the power voltage control systems. The advantage of this scheme is its unique capacity for finding the required solutions that can be used for stabilizing the progressive voltage drop or even voltage collapse of a power system. Because of the multiobjective classification, all these solutions could therefore form a landscape of control pattern which is aptly applicable to the control purpose of the coordinated voltage control system. The application of the proposed paradigm is verified upon the New England 39-bus power system. A tradeoff between the recovery time and the quality of voltage control exists and largely depends upon the number of steps for control actions.
Keywords :
genetic algorithms; power system stability; voltage control; genetic algorithms; jumping genes; power voltage control; recovery time; voltage collapse; voltage instability; Genetic algorithms (GAs); genetic algorithms; hierarchical genetic algorithm; hierarchical genetic algorithm (HGA); jumping genes; jumping genes (JG); voltage control; voltage instability;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2008.928107
Filename :
4559378
Link To Document :
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