Research on Reducing Regional Outage Loss Based on Entropy Weight-Gray Correlation Analysis

doi:10.11930/j.issn.1004-9649.201812032

Abstract

Abstract: Outage loss is one of the indicators to measure the economics of the power grid. Reasonable estimation of outage loss can provide a basis for improving distribution network reliability, social emergency power distribution, and public preventive budget allocation. In order to improve the accuracy of the grey relational analysis method, the ratio of output value to unit electric energy consumption (ROVUE) is used to calculate the outage loss, and the objective weight of each influencing factor is obtained with the entropy weight method. By using the method of entropy Weight-Grey correlation analysis, the correlation degree between the regional ROVUE and each industry, and the correlation degree between the reliability of distribution network and its influencing factors are calculated, respectively. In the case study of four different regions, the correlation of regional outage loss and various industries as well as the relationship between regional distribution network reliability and various influencing factors are analyzed. Thus the key direction and focus area are proposed for each regional power grid to upgrade its equipment, so that the investment of power supply enterprises can be concentrated to maximize the reliability of the distribution network and reduce the power outage losses.

Key words: outage loss, entropy weight, grey correlation analysis, industry, grid reliability

HAN Jun, HAN Wenhua, CHEN Xi, WANG Na, CHE Qianqian, SU Xiaoyan. Research on Reducing Regional Outage Loss Based on Entropy Weight-Gray Correlation Analysis[J]. Electric Power, 2020, 53(5): 10-17.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201812032

https://www.electricpower.com.cn/EN/Y2020/V53/I5/10

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