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应用于电力系统无功优化的改进遗传算法
引用本文:周双喜.应用于电力系统无功优化的改进遗传算法[J].电网技术,1997,21(12):1-3,11.
作者姓名:周双喜
作者单位:清华大学电机工程与应用电子技术系!北京100084
摘    要:遗传算法是近些年发展起来的基于自然选择规律的一种优化方法。本文在传统遗传算法的基础上,对遗传操作进行了进一步研究和改进,提出了改进遗传算法,电力系统的无功优化问题实例计算表明,改进遗传算法的优化结果可以更有效地达到或接近全局最优。

关 键 词:无功优化  遗传算法  电力系统

A REFINED GENETIC ALGORITHM FOR REACTIVE POWER OPTIMIZATION
Zhou Shuangxi, Cai Hu.A REFINED GENETIC ALGORITHM FOR REACTIVE POWER OPTIMIZATION[J].Power System Technology,1997,21(12):1-3,11.
Authors:Zhou Shuangxi  Cai Hu
Abstract:A Genetic Algorihm (GA ) is an optimlzallonmethod which has been developed in the past several yearsbased on the concept of natural selection. A Refined GerleticAlgorithm (RGA ) with an improvement upon the genecticoperations is presented in this Paper .and is applied in reactivepower optimization. The simulation results show that theRGA method can find optimal solution more efficiently.
Keywords:Reactive power optimization Refined Genetic Algorithm (RGA) Genetic operation
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