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Comparison of Domestic and Foreign Hydropower Consumption Mechanisms and Implications for Hydropower Participation in the Power Market in China

In: Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

Author

Listed:
  • Luyu Ma

    (Huazhong University of Science and Technology, School of Electrical and Electronic Engineering
    China-EU Institute for Clean and Renewable Energy)

  • Junhui Wu

    (Huazhong University of Science and Technology, School of Electrical and Electronic Engineering)

  • Yuxin Zhang

    (Huazhong University of Science and Technology, School of Electrical and Electronic Engineering)

  • Jianhua Yang

    (Central China Branch of State Grid Corporation of China)

Abstract

As a mature clean energy source, the market-based consumption of hydropower can give full play to its flexibility, which is in line with the trend of power market reform and is also an important way to realize the “carbon neutral” strategy. Hubei is a province with abundant hydropower resources and is one of the pilot provinces of electricity spot market of the second batch at the same time. Therefore, it is vital to study how hydropower enters the spot market. This paper compares the mechanisms of hydropower participation in the market at home and abroad. On this basis, three viable mechanisms for hydropower units to participate in spot market in Hubei are proposed. Besides, the advantages and disadvantages of different feasible ways and the scope of application of the corresponding units are analyzed, and relevant suggestions on the deviation settlement are also given.

Suggested Citation

  • Luyu Ma & Junhui Wu & Yuxin Zhang & Jianhua Yang, 2023. "Comparison of Domestic and Foreign Hydropower Consumption Mechanisms and Implications for Hydropower Participation in the Power Market in China," Advances in Economics, Business and Management Research, in: Seifedine Kadry & Yingchen Yan & Junjie Xia (ed.), Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), pages 635-646, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-124-1_73
    DOI: 10.2991/978-94-6463-124-1_73
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