基于改进遗传算法的电力系统无功优化  

Reactive Power Optimization Based on Modified Genetic Algorithm in Electric Power Systems

作　　者：王启[1] 

机构地区：[1]南京师范大学电气与自动化工程学院,江苏南京210042

出　　处：《江苏教育学院学报（自然科学版）》2008年第4期1-5,共5页Journal of Jiangsu Institute of Education(Social Science)

摘　　要：在简单遗传算法的基础上,针对无功优化的动态、多目标、多约束以及非线性特点,提出了基于简单遗传算法的改进算法.改进遗传算法中采用了个体适应度函数的线性变换、归一化的选择方法,以及定向变异策略的应用.以ward & Hale 6节点标准测试系统为例对该算法进行了有效性验证.仿真结果表明,该方法对电力系统的无功优化效果良好.Focusing on the dynamic, multi-objective, multi-restriction and non-linearity characteristics of reactive power, the experimenters propose an improved algorithm based on Genetic Algorithm（ GA）, which appends with the Linear Fitness-scaling in the process of genetic algorithms, the normalization select of stair-step iteration and evolution direction based directed variant GA. To validate, this method is applied to Ward ＆ Hale 6 buses. As is shown in the emulation result the algorithm works well on reactive power optimization in power system,

关 键 词：遗传算法 无功优化 归一化的选择方法 定向变异策略 

分 类 号：TP311.131[自动化与计算机技术—计算机软件与理论] O224[自动化与计算机技术—计算机科学与技术]