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,该文将遗传算法应用于电力系统无功优化,并对常规遗传算法的编码方式、遗传算子以及终止判据等方面进行了改进,使用该文提出的算法对IEEE6、IEEE30节点系统进行了无功优化计算,结果表明该改进遗传算法应用于无功优化是合理可行的。
Genetic algorithm is a evolution simulating optimal algorithm to solve complicated optimal problem with discrete varibles. This paper presents a new approach to optimal reactive power based on an improved genetic algorithm. This algorithm improves the method of coding, genetic operations and termination conditions. The proposed approach is applied to the IEEE 6 and IEEE 30 bus system. The simulation results show the improved genetic algorithm is reasonable and feasible.
出处
《继电器》
CSCD
北大核心
2005年第15期37-40,81,共5页
Relay
关键词
遗传算法
无功优化
电力损耗
数学模型
genetic algorithm
reactive power optimization
power loss
mathematic model
