Improved Fuzzy Evaluation Model and Assessment of Power Grid Development Diagnosis

doi:10.11930/j.issn.1004-9649.202004115

Abstract

Abstract: With the establishment and acceleration of power grid new infrastructure construction, the power grid is becoming increasingly complicated. It is very important to correctly understand the development state of power grid. Therefore, an improved dynamic fuzzy evaluation model is proposed for power grid development diagnosis, and corresponding rating assessment on power grid development is carried out. Firstly, a dynamic evaluation index system is established based on an analysis of the important indexes in all aspects of power grid development. Then, the trend characteristics of each state are analyzed by the methods of membership function and cluster analysis. Finally, the hidden Markov model is used for the comprehensive rating of power grid development. A case study is carried out with actual data of a provincial power grid, which shows that the rating results conform with the actual status, and are helpful to understand the dynamic features of power grid development.

Key words: power grid new infrastructure construction, power grid development diagnosis, dynamic assessment, fuzzy comprehensive evaluation, hidden Markov model, principal component analysis

AI Xin, HU Huanyu, REN Dapeng, PENG Dong, LIU Huichuan, XUE Yawei, ZHANG Tianqi. Improved Fuzzy Evaluation Model and Assessment of Power Grid Development Diagnosis[J]. Electric Power, 2022, 55(5): 66-75,165.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202004115

https://www.electricpower.com.cn/EN/Y2022/V55/I5/66

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