Electric Power ›› 2021, Vol. 54 ›› Issue (6): 71-78.DOI: 10.11930/j.issn.1004-9649.202006099

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Electricity Market Risk Evaluation Based on Order Relation-Entropy Weight Method

XIE Jingdong1, LU Chixin2, LU Siwei2, SUN Bo1, HUANG Xiying1, SUN Xin2   

  1. 1. Energy Science and Technology Center, Shanghai University of Electric Power, Shanghai 200082, China;
    2. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200082, China
  • Received:2020-06-08 Revised:2020-07-27 Published:2021-06-05
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.51507099); Ministry of Education Humanities and Social Sciences Research Fund (No.15YJCZH147); Science and Technology Proiect of State Grid Shanghai Electric Power Corporation (No.SGTYHT/18-WT-236); Science and Technology Proiect of East China Branch of State Grid Corporation of China (No.SGHD0000JYWT1900117)

Abstract: With the accelerated construction of China's electricity market, it is important for construction of the electricity market to make the smooth market transition and provide a scientific risk assessment method. Therefore, an electricity market risk assessment model is proposed based on the order relation-entropy weight method. Firstly, based on the actual market conditions, and combined with the principles of practicality, accessibility and reasonability, an universal index system is proposed from five aspects, including market subjects, market operations, market prices, market transactions, and market management. And a comprehensive assessment is made of the electricity market risks. And then, the weight of each index is calculated using the combination weighting method of the order relationship-entropy weight method to form the quantified evaluation values, thus accurately obtaining the risk levels of the electricity market; Finally, the feasibility and applicability of the method is verified through a practical example.

Key words: electricity market, risk measurement, order relation analysis method, entropy weight method, minimum information entropy principle