DocumentCode
522843
Title
Modified Genetic Algorithm in Power System Application
Author
Zhuang, Xu
Author_Institution
Northeast Dianli Univ., Jilin, China
Volume
2
fYear
2010
fDate
4-6 June 2010
Firstpage
301
Lastpage
304
Abstract
Reactive power optimization is an effective method for improving the electricity quality and reducing the power loss in power system. Reactive power optimization is a higher dimensional, nonlinear and complicated optimizing problem, in which continuous and discrete variables coexist. This article presents "cataclysmic GA", combining the “Roulette Wheel” and “Tournament”. Self-adaptive adjusting operators in GA based on the number of iterate and performance of units, speeds up the con-vengeance. The IEEE6 power system, are taken in optimization.
Keywords
genetic algorithms; power supply quality; power systems; reactive power; IEEE6 power system; cataclysmic GA; electricity quality; modified genetic algorithm; power loss reduction; power system application; reactive power optimization; self-adaptive adjusting operators; Encoding; Equations; Genetic algorithms; Hybrid power systems; Linear programming; Optimization methods; Power systems; Reactive power; Search methods; Voltage; generic algorithm; reactive power optimization; self-adaptive;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Computing (ICIC), 2010 Third International Conference on
Conference_Location
Wuxi, Jiang Su
Print_ISBN
978-1-4244-7081-5
Electronic_ISBN
978-1-4244-7082-2
Type
conf
DOI
10.1109/ICIC.2010.171
Filename
5513844
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