Reactive Power Optimization Based on Genetic Algorithm of Improved Selection Operation
(Northeast Dianli University,Jilin 132021,China) Zhuang Xu (University of Electronic Science and Technology) Zhang Jingchao
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 is executed,speeds up the con-vengency.The IEEE6 power system are taken as an example in optimization.The results of the optimization demonstrate that the method presented by this article can improve general GA's performance.
【CateGory Index】： TM714