摘要
遗传算法是一种模拟生物进化过程的优化算法,可用于求解包含离散化变量的复杂优化问题,是近些年发展起来的基于自然选择规律的一种优化方法。本文提出了一种应用于电力系统无功优化问题的改进遗传算法,该算法在一般遗传算法的基础上,对适应函数、编码方式以及变异操作等方面作了改进。经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。
Genetic Algorithm （GA） is an optimal algorithm which simulate evolutional process of biology. GA is an optimization method which has been developed in the past several years based on the concept of natural selection. This paper presents an improved genetic algorithm with improvements in the adaptation function selection,coding and mutation operation. The simulation results of reactive power optimization are also given.
出处
《自动化技术与应用》
2007年第6期7-10,共4页
Techniques of Automation and Applications
关键词
电力系统
遗传算法
无功优化
改进遗传算法
power system
genetic algorithm
reactive power optimization
improved genetic algorithm
