Operational Risk Identification of Electric Power Market Management Committee Based on Intuitionistic Fuzzy FMEA and TOPSIS-GRPM Methods
American Journal of Environmental and Resource Economics
Volume 4, Issue 3, September 2019, Pages: 96-103
Received: May 14, 2019; Accepted: Jun. 13, 2019; Published: Jul. 26, 2019
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Authors
Jun Dong, School of Economics and Management, North China Electric Power University, Beijing, China
Dongxue Wang, School of Economics and Management, North China Electric Power University, Beijing, China
Xihao Dou, School of Economics and Management, North China Electric Power University, Beijing, China
Dongran Liu, School of Economics and Management, North China Electric Power University, Beijing, China
Shilin Nie, School of Economics and Management, North China Electric Power University, Beijing, China
Linpeng Nie, School of Economics and Management, North China Electric Power University, Beijing, China
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Abstract
With the new round of power industry reform in China, the Power Market Management Committee (PMMC) came into being as an autonomous deliberation and coordination body. PMMC plays a bridge role in power market operation, but its operating mechanism is still in the exploratory stage. Research on how to effectively play the functional role in the power market and avoid the effectiveness of the risk is still blank. In order to scientifically identify and evaluate the operational risks of the PMMC and provide guidance and reference for its operation in the electricity market, the article focuses on its responsibilities and procedures, and benchmarks with similar institutions at home and abroad. The traditional FMEA method is applied to analyze the potential risk causes and consequences of PMMC operation, and nine potential risk factors are extracted, then the initial weights of the risk factors were determined by combining the subjective and objective weighting methods with the intuitionistic fuzzy set FMEA method, then the TOPSIS-GRPM method is used to calculate the gray correlation projection closeness, and the final weight of the risk factor is determined. From the evaluation results, it can be seen that the risk of members' composition, professional ability and authority and responsibility allocation are of high level, and need to be focused on prevention and control. Finally, effective measures to avoid and prevent PMMC are put forward to provide reference for the safe and efficient operation of PMMC in China.
Keywords
Operational Risk, Risk Model, PMMC, Intuitionistic Fuzzy FMEA Method, TOPSIS-GRPM
To cite this article
Jun Dong, Dongxue Wang, Xihao Dou, Dongran Liu, Shilin Nie, Linpeng Nie, Operational Risk Identification of Electric Power Market Management Committee Based on Intuitionistic Fuzzy FMEA and TOPSIS-GRPM Methods, American Journal of Environmental and Resource Economics. Vol. 4, No. 3, 2019, pp. 96-103. doi: 10.11648/j.ajere.20190403.12
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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