New Multi-stage Distribution Substation Planning Algorithm Based on Multilayer Hopfield Neural Network
This paper presents the mathematical model for multistage distribution substation planning. In order to decide the substation-planning scheme in each stage simultaneously, this work put forward a new method for getting initial feasible solution. The initial feasible solution makes load points in every stage into consideration by classifying new substations into several classes. Based on the initial feasible solution, we present Hopfield neural network to calculate each substations planning scheme in every stage simultaneously. The energy function of the neural network and calculation algorithm are given in this paper. A real multi-stage planning example is also given, and the comparison between the calculated scheme and the scheme that is done by power institution shows that the presented algorithm is effective.
distribution substation planning neural network optimization
Cui Yanan Yan Suli Gao Weixin Tang Nan
School of electrical engineering Xian Shiyou University Xian China
国际会议
杭州
英文
114-118
2011-10-28（万方平台首次上网日期，不代表论文的发表时间）