摘要
建立以降低网损之后带来经济效益最大为目标函数的模型,通过引入灵敏度分析,得到候选补偿节点以减小寻优时的计算量,再用遗传算法作为配电网无功补偿优化算法,确定补偿节点和最适合的补偿容量。在遗传算法计算过程中通过保存最优秀个体的办法,在提高计算速度的同时还能提高计算精度。
Established the basic mathematical model and the object function of model which based on the maximum economic benefitsBy sensitivity analysis determine the reactive power compensation node,genetic algorithm is fit to resolving reactive power optimization,genetic algorithm is used to determine the compensation node and compensation capacity.Improved genetic algorithm can reduce the computation time and improves the precision of calculation meanwhile.
出处
《工业控制计算机》
2013年第1期58-59,共2页
Industrial Control Computer
关键词
配电网
无功优化
遗传算法
power distribution network,reactive power optimization,genetic algorithm
