Planning of Anti-Disaster Transformer Substation Based on NN and PSO  

作　　者：Tao Wang Xiaolei Yang Qijun Tang Jia Li Xuandong Liu 

机构地区：[1]Wenzhou Electric Power Bureau, Wenzhou 325028, China [2]High Voltage Division, Xi "an Jiaotong University, Xi 'an 710049, China [3]Northwest Hydro Consulting Engineers CHECC, Xi 'an 710049, China

出　　处：《Journal of Energy and Power Engineering》2013年第10期1992-1997,共6页能源与动力工程（美国大卫英文）

摘　　要：Recently, the frequent extreme natural disasters made enormous damage to the electric grid leading to blackouts. The lifeline system aiming at providing continuous power supply for the important load in extreme natural disasters was designed in that condition. In this paper, a developed model for planning of the transformer substation in lifeline system which considered the effect of existing transformer substations, the motivated areas and punishment areas was proposed. The Hopfield NN （neural network） was adopted to solve the feeders and the PSO （particle swarm optimization） was adopted to new the locations of the transformer substations based on the feeders. The planning result not only took fully use of the existing substation but also got the suitable location for new construction which was satisfactory.

关 键 词：Lifeline system transformer substation Hopfield NN PSO. 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TM63[自动化与计算机技术—控制科学与工程]