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ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1544722
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As a pivotal element of the power market system, provincial electricity spot market has a critical foundation for effectively improving the efficiency of electricity resource consumption and promoting the clean energy transformation of the new power system. However, it still faces challenges of supervision dysfunction, which has led to market imbalances and unfair trade. To enhance supervision efficiency, an obstacle system comprising 50 factors is initially developed through a comprehensive literature review and expert consultation. This system is tailored to the characteristics of the provincial electricity spot market in China and encompasses five dimensions: market structure, market participants' behavior, operational mechanisms and performance, transparency and information disclosure, and system security and scheduling. Considering uncertainty and redundancy existing in subjective obstacles identification, the Interpretive Structural Modeling (ISM) is introduced to refine original DEMATEL method to remove redundancy obstacles, further analyzing comprehensive importance and causal relationship. Based on the critical parameters derived from the results, spot price fluctuation level, the effect of regulatory policy implementation, and the completeness and timeliness of information disclosure hold the highest three positions in terms of importance. Additionally, market size and capacity obstacles demonstrate a greater impact on the entire system. The results provide valuable insights for shaping governmental regulations and enterprise practices to address the obstacles effectively. Finally, this paper proposes a series of general solutions and specific policy recommendations for provincial electricity spot market supervision to boost prosperity.
Keywords: Provincial electricity spot market supervision, Obstacle identification, Key obstacle, ISM-DEMATEL methods, Supervision proposal
Received: 13 Dec 2024; Accepted: 13 Mar 2025.
Copyright: © 2025 Li, Xue, Zhang, Zheng and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yi Li, Henan Jiuyu Longyuan Energy Service Co., Ltd, Zhengzhou City, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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