Comprehensive Evaluation of Operation and Maintenance of Distributed Photovoltaic Power Based on Interval Intuitionistic Fuzzy Group Decision

doi:10.11930/j.issn.1004-9649.202005145

Abstract

Abstract: Aiming at the current situation that the evaluation index system and information for operation and maintenance management of distributed photovoltaic power stations are imperfect, this paper studies the comprehensive evaluation for operation and maintenance management of distributed photovoltaic power stations based on interval intuitionistic fuzzy group decision-making. Firstly, the key factors that affect the intelligent operation and maintenance management of distributed photovoltaic power stations are analyzed. Then, a multi-dimensional evaluation indicator system and its calculation method are proposed with a comprehensive consideration of economic, social, and technical factors. Considering the fact that the proposed indicators are various in types, extensive in contents, numerous in contact personnel, which leads to the complexity and incompleteness of acquisition data, the interval intuitive fuzzy group decision-making method is employed for comprehensive evaluation of the intelligent operation and maintenance management in order to reduce the information loss or distortion and correctly characterize the decision-making information of group decision-making experts. Simulation examples have verified that the proposed method can obtain effective evaluation results under the conditions of missing or incomplete information of photovoltaic power stations, which will be feasible for the actual operation and maintenance of distributed photovoltaic power stations.

Key words: distributed photovoltaic power station, operation and maintenance, interval intuitionistic fuzzy set, group decision-making, comprehensive evaluation

ZUO Gao, ZHANG Chao, CHEN Yuchun, YU Haibo, LU Yudong. Comprehensive Evaluation of Operation and Maintenance of Distributed Photovoltaic Power Based on Interval Intuitionistic Fuzzy Group Decision[J]. Electric Power, 2021, 54(8): 154-163.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202005145

https://www.electricpower.com.cn/EN/Y2021/V54/I8/154

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