Title :
Modified Genetic Algorithm in Power System Application
Author_Institution :
Northeast Dianli Univ., Jilin, China
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;
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
DOI :
10.1109/ICIC.2010.171
