Reactive Power Optimization Based on Genetic Algorithm of Improved Crossover Operation

摘要：

In this paper, a mathematical model of reactive power optimization and its algorithm were set up and studied, and an improved genetic algorithm was proposed for reactive power optimization of power system. The algorithm with the binary - real mixed coding method, and the algorithm’s crossover operator was improved. combined with logic operation, proposed the method of logic cross. In the crossover operation, the method combination of logical crossover and linear cross were used, It is promote large range search of the solution space and at the same time the superiority protection strategy is also adopted, so it accelerates the algorithm convergence speed. By the Ward&Hale 6-bus system optimization computation, the results show that the improved genetic algorithm reduce the network loss, realized optimization of the power system reactive power.

关键词： Power system Reactive power optimization Genetic algorithm Logic crossover

作者: Yuan Weiwei Li Yan Huang Jinlei

作者单位: school of Information Science and Engineering, Shenyang Li gong University, Shenyang 110159 school of Information Science and Engineering, Shenyang Li gong University, Shenyang 110159 Mechanic Mechanical and Electronic Engineering Department, Henan Polytechnic, Zhengzhou 450046

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 883-888

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）