Line Losses Calculation In Distribution Network Based On RBF Neural Network Optimized by Hierarchical GA

被引：0
|
作者：
Ni Feng [1 ]
Yu Jianming [1 ]
机构：
[1] Xian Univ Technol, Xian 710048, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4 | 2009年
关键词：
RBFNN; Distribution network; Line losses; HGA;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, we propose a practical method of calculating Line losses in distribution network based on RBF neural network (RBFNN) optimized by Hierarchical Genetic Algorithm (HGA). The first step is to determine three parameters of RBFNN, namely the number of hidden layer nodes, the width and the center of the basis function. In the second step, RBFNN is adopted to map the complex non-linear relation between energy losses and characteristic parameters of distribution net so that the net can learn the trend of energy losses under varying distribution net structure and operation parameters. The simulation results have verified that the method presented is reliable and effective.
引用
收藏
页码：815 / 819
页数：5
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