摘要
遗传算法(GA)是近10年来发展的基于自然选择规律的一种优化方法,算法能成功的解决无功变量中的离散问题,避免常规数学优化方法的局部最优现象。根据众多参考文献,阐述了简单遗传算法(SGA)以及GA与其他算法相结合的算法在电力系统无功优化中的应用和今后的发展方向。
The genetic algorithm （GA） is an optimization method being developed in the past decade based on the natural selection rule. This method can successfully solve the discrete problems of reactive power variables and avoid the local optimization phenomenon in conventional mathematical optimization methods. The paper describes the application of the simple genetic algorithm and the genetic algorithm combined with other algorithms in reactive power optimization of power systems and the future development direction according to lots of reference papers.
出处
《江苏电机工程》
2006年第4期38-40,共3页
Jiangsu Electrical Engineering
关键词
电力系统
无功优化
遗传算法
power system
reactive power optimization
genetic algorithm
