摘要
遗传算法是近十年发展起来的基于自然选择规律的一种优化方法。本文阐述了遗传算法 ( GAs)在电力系统无功优化中的应用。实例计算表明 ,与常规无功优化方法相比 ,该算法成功地解决了无功优化中变量的离散问题 。
The Genetic Algorithm(GA) is an optimization method which has been developed in the past ten years,based on the concept of natural selection.In this paper genetic algorithms(GAs) and it’s application in VAR optimization of power system are described.Compared with normal approaches,this method can successfully solve the discrete independent variable problems and avoid the local optimal solutions in conventional mathematical optimization problem.
出处
《电力系统及其自动化学报》
CSCD
2001年第3期10-12,42,共4页
Proceedings of the CSU-EPSA
关键词
遗传算法
无功优化
线性规划
数学模型
电力系统
Genetic algorithms(GA), Power system, VAR optimization, Local optimization
