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Cooperation and Profit Allocation Mechanism of Traditional and New Energy Complementary Power Generation: A Framework for Renewable Portfolio Standards

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  • Bo Shang

    (School of Business, Changzhou University, Changzhou 213159, China)

Abstract

To boost the sustainable development of energy and the environment, a new power system with clean energy sources has been proposed by the Chinese government and traditional coal-fired power units are being transformed into regulation service providers for this new energy power system. Then, in this study, complementary power generation cooperation between traditional coal-fired power and new energy power producers is analyzed and discussed, and the energy quota agents, power sellers, are also included. Based on the cooperation game idea, different decision-making models of the tripartite power entities are elaborately constructed. Then, according to the price linkage mechanism between new energy and traditional thermal power, the profit of all power subjects is calculated and the profit allocation process is also analyzed. The conclusions show that the similarity of the two wholesale power price coefficients verifies the symmetry of the cooperative status of power producers. For BPC and SPC quota patterns, for example, BPC is bundled with new energy power and green certificates, whereas SPC is separate. Under the SPC pattern, there is a critical value for effective cooperation between the two power producers in the price range of traditional thermal power or new energy, which can achieve a win–win situation of increasing economic benefits and the consumption scale. Under the BPC pattern, the dynamic benefit compensation mechanism, which is the corrected Shapley value based on the RPS quota ratio, can solve the compressed profit of traditional coal-fired power producers. In contrast, the overall effect of profit allocation using the nucleolar method is not ideal. This study aims to give full play to the elastic induction effect of RPS to promote the sustainable transformation of traditional thermal power energy, especially combining the market mechanism to encourage traditional coal-fired power units to improve green technology to advance the construction of the green power market in China.

Suggested Citation

  • Bo Shang, 2024. "Cooperation and Profit Allocation Mechanism of Traditional and New Energy Complementary Power Generation: A Framework for Renewable Portfolio Standards," Sustainability, MDPI, vol. 16(20), pages 1-27, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:8965-:d:1500140
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    References listed on IDEAS

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    1. Dávid Csercsik, 2016. "Competition and Cooperation in a Bidding Model of Electrical Energy Trade," Networks and Spatial Economics, Springer, vol. 16(4), pages 1043-1073, December.
    2. Zhen, Juntao & Zhao, Laijun & Yi, Hongru & Cheng, Youfeng & Wang, Ke & Hu, Haisheng, 2024. "Cross-provincial collaborative transaction that considers both the green electricity and the green certificate markets under a renewable portfolio standard policy," Applied Energy, Elsevier, vol. 372(C).
    3. Pineda, Salvador & Bock, Andreas, 2016. "Renewable-based generation expansion under a green certificate market," Renewable Energy, Elsevier, vol. 91(C), pages 53-63.
    4. Xiao, Yunpeng & Wang, Xifan & Wang, Xiuli & Dang, Can & Lu, Ming, 2016. "Behavior analysis of wind power producer in electricity market," Applied Energy, Elsevier, vol. 171(C), pages 325-335.
    5. Bhattacharya, Suparna & Giannakas, Konstantinos & Schoengold, Karina, 2017. "Market and welfare effects of renewable portfolio standards in United States electricity markets," Energy Economics, Elsevier, vol. 64(C), pages 384-401.
    6. Furlan, Claudia & Mortarino, Cinzia, 2018. "Forecasting the impact of renewable energies in competition with non-renewable sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1879-1886.
    7. Wu, Qiong & Ren, Hongbo & Gao, Weijun & Ren, Jianxing, 2017. "Benefit allocation for distributed energy network participants applying game theory based solutions," Energy, Elsevier, vol. 119(C), pages 384-391.
    8. Ding, Yihong & Tan, Qinliang & Shan, Zijing & Han, Jian & Zhang, Yimei, 2023. "A two-stage dispatching optimization strategy for hybrid renewable energy system with low-carbon and sustainability in ancillary service market," Renewable Energy, Elsevier, vol. 207(C), pages 647-659.
    9. Volkart, Kathrin & Weidmann, Nicolas & Bauer, Christian & Hirschberg, Stefan, 2017. "Multi-criteria decision analysis of energy system transformation pathways: A case study for Switzerland," Energy Policy, Elsevier, vol. 106(C), pages 155-168.
    10. Li, Wei & Lu, Can & Zhang, Yan-Wu, 2019. "Prospective exploration of future renewable portfolio standard schemes in China via a multi-sector CGE model," Energy Policy, Elsevier, vol. 128(C), pages 45-56.
    11. Su, Xiang & Tan, Junlan, 2023. "Regional energy transition path and the role of government support and resource endowment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    12. Fischer-Kowalski, Marina & Rovenskaya, Elena & Krausmann, Fridolin & Pallua, Irene & Mc Neill, John R., 2019. "Energy transitions and social revolutions," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 69-77.
    13. Fan, Jing-Li & Wang, Jia-Xing & Hu, Jia-Wei & Wang, Yu & Zhang, Xian, 2019. "Optimization of China’s provincial renewable energy installation plan for the 13th five-year plan based on renewable portfolio standards," Applied Energy, Elsevier, vol. 254(C).
    14. Webb, Jeremy & de Silva, H. Nadeeka & Wilson, Clevo, 2020. "The future of coal and renewable power generation in Australia: A review of market trends," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 363-378.
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