Joint optimization for power loss reduction in distribution systems

被引:65
作者
Zhang, Dong [1 ]
Fu, Zhengcai [1 ]
Zhang, Liuchun [1 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai 200030, Peoples R China
关键词
capacitor control; genetic algorithm; joint optimization; loss minimum; network reconfiguration;
D O I
10.1109/TPWRS.2007.913300
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In distribution systems, network reconfiguration and capacitor controls generally, are used to reduce real power losses and to improve voltage profiles. Since both capacitor control and network reconfiguration belong to the complicated combinatorial optimization problems, it is hard to combine them efficiently for better optimization results. In this paper, a joint optimization algorithm of combining network reconfiguration and capacitor control is proposed for loss reduction in distribution systems. To achieve high performance and high efficiency of the proposed algorithm, an improved adaptive genetic algorithm (IAGA) is developed to optimize capacitor switching, and a simplified branch exchange algorithm is developed to find the optimal network structure for each genetic instance at each iteration of capacitor optimization algorithm. The solution algorithm has been implemented into a software package and tested on a 119-bus distribution system with very promising results.
引用
收藏
页码:161 / 169
页数:9
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