Risk Index Early-warning of Smart Grid Based on Neural Network

被引：0
作者：
Ji, Xiu [1 ]
Ji, Hui [2 ,3 ]
Yao, Qiang [4 ,5 ]
Wang, Ming-chen [1 ]
机构：
[1] Changchun Inst Technol, Distribut Automat Engn Res Ctr, Changchun, Jilin, Peoples R China
[2] Ji Lin Power Co, Jilin, Jilin, Peoples R China
[3] State Grid Jilin Prov Power Co, Jilin, Jilin, Peoples R China
[4] Yanbin Power Co, Yanbin, Jilin, Peoples R China
[5] State Grid Jilin Prov Power Co, Yanbin, Jilin, Peoples R China
来源：
2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) | 2017年
关键词：
Smart grid; LVQ neural network; risk index; early warning model;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we first analyze and compare the common risk index forecasting methods, compare the advantages and disadvantages of various risk index forecasting methods, and combine the actual situation of intelligent grid Risk index to select the LVQ neural network prediction method as the risk index prediction method of this system. According to the actual demand of risk index system, an early warning index system is established, and the data of the early warning model are mainly used in Jilin City, and the method is validated and analyzed with the correlation degree of index. The experimental results show that the LVQ Neural network algorithm has achieved more excellent results.
引用
收藏
页码：1723 / 1727
页数：5
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