基于改进遗传算法的配电网无功优化  

Reactive power optimization of power distribution network based on improved genetic algorithm

作　　者：言宇[1] 冯林桥[1] 陈湘波 张堃[1] 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082 [2]湘潭电业局,湖南湘潭411100

出　　处：《广东电力》2006年第3期5-8,共4页Guangdong Electric Power

基　　金：中华电力教育基金会许继奖教金资助项目(教基[2003]7号)

摘　　要：针对传统遗传算法在电网无功优化领域应用中存在的不足,结合配电网的特征,建立了综合考虑全年网损、电压品质和补偿设备投资的无功优化数学模型。同时应用自适应遗传算法对传统遗传算法的遗传算子和终止判据等进行了改进,提出了一种配电网无功优化的改进遗传算法,使其计算效率和全局寻优能力均有提高。实例计算表明,其优化效果优于传统遗传算法。In view of the defects of traditional genetic algorithm （GA） applied to reactive power optimization of power system, and based on the characteristics of power distribution network, a mathematical model for reactive power optimization is established, which has comprehensively considered the yearly network loss, the voltage quality and the investment in compensation equipment, Meanwhile, adaptive GA is used to improve the genetic operator and the termination criterion of traditional GA, and then an improved GA for reactive power optimization of distribution network is put forward to enhance the calculation efficiency and the ability of global optimization. Calculation examples show that the optimization effect of the improved algorithm is better than that of the traditional GA.

关 键 词：配电网 无功优化 遗传算法 

分 类 号：TM714.3[电气工程—电力系统及自动化]