摘要
遗传算法是一种通过在整个解空间多渠道同时搜索以找到全局最优解的寻优方法,已经在许多复杂优化问题上被证明是一种相当有效的方法。为此,就遗传算法在电力系统无功优化中的应用进行了介绍,并提出了遗传算法在大规模电力系统无功优化计算中的改进措施。
Genetic Algorithm (GA) is an optimization algorithm that searches the entire solution space through multichannel simultaneously to find the global optimum.It has been proved to be very efficient in many complicated optimization problems.This paper introduces the application of GA to reactive power optimization of power systems.Some improvement measures are presented to make GA suitable for optimal reactive power calculation of largescale power systems.
出处
《广东电力》
2002年第6期6-10,14,共6页
Guangdong Electric Power
关键词
遗传算法
电力系统
无功优化
编码
交叉
genetic algorithm
power systems
reactive power optimization
