Study on the Dynamic Reactive Power Optimization Based on Improved Genetic Algorithms

摘要：

For dynamic reactive power optimization, loadvariation should be taken into consideration under theconstraint of maximal allowable daily operating times. An improved method of encoding, propagation and adaptive degree function of genetic algorithms is proposed. By introducing the Chaos Operator, it has overcome the defect of precocity for Simple Genetic Algorithms (SGA), for its particularly inherent randomness and ergodicity to skip the partial optimization. At last, the results of real cases demonstrate that it is practical and efficient.

关键词： Power system Reactive power optimization genetic algorithms Dynamic optimization

作者: HeWei DuanBin SuiYongxin

作者单位: XiangTan University,Xiangtan 411105,Hunan Province,China

会议类型: 国际会议

会议名称: 2008 China International Conference on Electricity Distribution (CICED 2008)(2008中国国际供电会议)

会议地点: 广州

会议语种:英文

页码: 1-5

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）