Grading Evaluation of Typhoon Fault Impact in Electric Distribution Network Based on Data Mining

被引：4

作者：

Sun, Ming ^{[1
]}

Shao, Xianjun ^{[1
]}

Zhou, Jinhui ^{[1
]}

Jin, Yongtao ^{[1
]}

Wang, Shaohe ^{[1
]}

Zhang, Chi ^{[2
]}

机构：

[1] State Grid Zhejiang Elect Power Reasearch Inst, Hangzhou, Peoples R China

[2] State Grid Zhejiang Elect Power Co LTD, Hangzhou, Peoples R China

来源：

PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC) | 2019年

关键词：

distribution network lines; data mining; principal components analysis; single-level analysis; grading evaluation;

D O I：

10.1109/CIEEC47146.2019.CIEEC-2019376

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：

A grading evaluation method for typhoon faults impact on distribution network lines is proposed in this paper based on data mining. Firstly, based on the online monitoring of big data resources in the distribution network, the typhoon fault impact evaluation index system is constructed. Then, the data mining method such as principal component analysis and single-level analysis is used to obtain the weight of evaluation index. Finally, the typhoon fault impact comprehensive score of each line is calculated and the evaluation level is divided. The data of typhoon fault line of distribution network in a certain province of China is selected to analyze the practicality and effectiveness of the proposed algorithm. Using the rating result, we can accurately locate the weak link of distribution network line typhoon fault. It is of great significance to the precise operation and distribution network line upgrade of power supply company.

引用

页码：996 / 1000

页数：5

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