Research on Risk Indicator System of Smart Distribution Grid Based on LVQ Neural Network

被引：0
|
作者：
Ji, Xiu [1 ]
Bai, Dongping [1 ]
Xu, Jiayu [1 ]
Liu, Shaorui [1 ]
Shan, Shuangshuang [2 ]
机构：
[1] ChangChun Inst Technol, Natl Local Joint Engn Res Ctr Smart Distribut Gri, Changchun, Peoples R China
[2] Jilin Profit Technol Co Ltd, Changchun, Peoples R China
来源：
2019 CHINESE AUTOMATION CONGRESS (CAC2019) | 2019年
关键词：
improved LVQ neural network; prediction system of risk indicator; smart distribution grid;
D O I：
10.1109/cac48633.2019.8996928
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper analyzes the self-healing function of smart distribution grid, and considers the impact of DG energy access and natural disasters on the smart distribution grid.Through the analysis of several common risk prediction methods, and in combination with the practical situation of indicators of risk prediction, LVQ neural network was selected as the basic analysis method of risk indicator prediction in this paper, and the core analysis of this paper was realized by improving LVQ neural network.According to the demand of actual risk indicator prediction,the risk indicator system of smart distribution grid is established, and the method of this paper is verified and analyzed with an actual example. By comparing with BP neural network, the improved LVQ neural network is proved to be more advantageous than BP neural network.
引用
收藏
页码：3070 / 3075
页数：6
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