Study on the factors influencing the reliability analysis in distribution network based on improved entropy weight gray correlation analysis algorithm

被引：0
|
作者：
Nan Y. [1 ]
Song R. [1 ]
Chen P. [1 ]
Hu J. [1 ]
Gao T. [1 ]
Han W. [2 ]
机构：
[1] State Grid Kaifeng Electric Power Company, Kaifeng
[2] Shanghai University of Electric Power, Shanghai
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 24期
基金：
中国国家自然科学基金;
关键词：
Distribution network; Entropy weight; Grey correlation analysis; Reliability;
D O I：
10.19783/j.cnki.pspc.190220
中图分类号：
学科分类号：
摘要：
An improved entropy weight algorithm is introduced into a grey relational analysis algorithm to overcome the shortcomings of similar influencing factors, and the reasonable weights of each influencing factor are obtained to improve the objectivity of the evaluation. Using the improved entropy weight-grey correlation analysis algorithm, the correlation values between the reliability index of the power supply area and each influencing factor are obtained. In the experiment, as for the data of four power supply areas, the main factors affecting the reliability of power supply in different power supply areas are obtained by using the method proposed in this paper. The results are compared with those obtained by the gray correlation analysis algorithm. The experimental results show that the method can obtain the influences more effectively. Thus, the key factors that have a significant impact on the reliability of the power supply in a power supply area are determined. © 2019, Power System Protection and Control Press. All right reserved.
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页码：101 / 107
页数：6
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