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Comprehensive evaluation of power failure based on improved extension analytic hierarchy process |
DOI:10.7667/PSPC180151 |
Key Words:power failure impact comprehensive evaluation extension analytic hierarchy process subjective empowerment vagueness objective allocation of expert weights |
Author Name | Affiliation | E-mail | ZHOU Jian | China Southern Power Grid Power Dispatch Control Center, Guangzhou 510623, China | | LUO Tianyun | South China University of Technology, Guangzhou 510640, China | 543920097@qq.com | LI Zhiyong | China Southern Power Grid Power Dispatch Control Center, Guangzhou 510623, China | | CHEN Gang | China Southern Power Grid Power Dispatch Control Center, Guangzhou 510623, China | | YU Hui | China Southern Power Grid Co., Ltd., Guangzhou 510623, China | | ZHU Jianquan | South China University of Technology, Guangzhou 510640, China | |
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Abstract:Aiming at the comprehensive evaluation of the impact of power failure on power systems, a new Improved Extension Analytic Hierarchy Process (IEAHP) is presented in this paper. Firstly, the indicator system is established to fully characterize the impact of each power failure. Secondly, the power failure levels are divided based on historical data of power failures and experience of evaluation experts, and then the extension set theory is used to calculate the membership of the indicators to the levels. Thirdly, the judgment matrix is constructed by the extension interval in order to reduce the experts' subjective empowerment vagueness, then the judgment matrices are combined through the objective allocation of expert weights so as to provide a comprehensive assessment of the impact of power falure. Finally, the proposed method is applied to the assessment of real power failures, and the results prove its effectiveness. This work is supported by National Natural Science Foundation of China (No. 51307064), Science and Technology Project of China Southern Power Grid Company Limited (No. 000000KK52150001), and Fundamental Research Fund for the Central Universities (No. 2017ZM0022). |
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