Research on Reactive Power Optimizing Control Based on Immune Algorithms
This thesis tries to provide immune algorithm which is used to reactive power optimization of power system. The possibility of getting locally optimal solution which brought by the singularity of initial colony in GA can be effectively avoided, the local searching ability can be improved, and calculation can be accelerated. After the optimization calculation of the IEEE-6 node, it shows that the reactive power optimizing control based on IA and GA can reduce the power loss, raise the voltage percentage of pass, and improve the power quality.
security of power system power system reactive power optimization immune algorithm
Xu Xiangzheng
East China Jiao Tong University,Nanchang 330013 Chian
国际会议
西安
英文
2007-08-16(万方平台首次上网日期,不代表论文的发表时间)