Application of an improved genetic algorithm for reactive power optimization in power system
An improved genetic algorithm based on “approximative elite, “study operator and “chaos operator has been presented in this paper according to the features of reactive power optimization in power system. The calculational efficiency can been improved obviously as well as the best solution can be kept assuredly if the improved genetic algorithm presented in this paper is used because of the consideration of the existed information and operation experience, which are not considered carefully in traditional genetic algorithm, thought some good effect has been got by the traditional genetic algorithm in solving this problem. A numerical example shows the correctness and validity of the algorithm presented in this paper.
Genetic Algorithm Study Operator Chaos Operator Power System Reactive Power Optimization
王薇 苏煜
西安供电局,陕西 西安 710032
国际会议
广州
英文
2007-11-10（万方平台首次上网日期，不代表论文的发表时间）