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Massive Multi-Source Joint Outbound and Benefit Distribution Model Based on Cooperative Game

Author

Listed:
  • Wang He

    (School of Electrical Engineering, Guizhou University, Guiyang 550025, China)

  • Min Liu

    (School of Electrical Engineering, Guizhou University, Guiyang 550025, China)

  • Chaowen Zuo

    (School of Electrical Engineering, Guizhou University, Guiyang 550025, China)

  • Kai Wang

    (School of Electrical Engineering, Guizhou University, Guiyang 550025, China)

Abstract

In light of the challenges posed by the widespread distribution of new energy sources in China and their distance from load centers, the power system must effectively integrate both new energy and thermal power transmission. To address this issue, we propose a dynamic coordinated scheduling model that combines wind, photovoltaic, and thermal power to optimize the profit of the energy complementary delivery system. Additionally, we present an improved ant lion optimization algorithm to investigate the coordinated scheduling and benefit distribution of these three power sources. This paper introduces a cooperative mode for benefit distribution and utilizes an enhanced Shapley value method to allocate the benefits of joint operation among the three parties. The distribution of benefits is based on the contribution of each party to the joint proceeds, considering the profit levels of joint outbound and independent outbound modes. Through our analysis, we demonstrate that the upgraded ant lion optimization algorithm facilitates finding the global optimal solution more effectively within the feasible zone. Furthermore, our suggested three-party combined scheduling model and profit-sharing approach are shown to be superior and feasible.

Suggested Citation

  • Wang He & Min Liu & Chaowen Zuo & Kai Wang, 2023. "Massive Multi-Source Joint Outbound and Benefit Distribution Model Based on Cooperative Game," Energies, MDPI, vol. 16(18), pages 1-19, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6590-:d:1238925
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    References listed on IDEAS

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    1. Gang Zhang & Yaning Zhu & Tuo Xie & Kaoshe Zhang & Xin He, 2022. "Wind Power Consumption Model Based on the Connection between Mid- and Long-Term Monthly Bidding Power Decomposition and Short-Term Wind-Thermal Power Joint Dispatch," Energies, MDPI, vol. 15(19), pages 1-25, September.
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    3. Nongmaithem Nandini Devi & Surmila Thokchom & Thoudam Doren Singh & Gayadhar Panda & Ramasamy Thaiyal Naayagi, 2023. "Multi-Stage Bargaining of Smart Grid Energy Trading Based on Cooperative Game Theory," Energies, MDPI, vol. 16(11), pages 1-21, May.
    4. Md Masud Rana & Mohamed Atef & Md Rasel Sarkar & Moslem Uddin & GM Shafiullah, 2022. "A Review on Peak Load Shaving in Microgrid—Potential Benefits, Challenges, and Future Trend," Energies, MDPI, vol. 15(6), pages 1-17, March.
    5. Xu, Jiuping & Liu, Liying & Wang, Fengjuan, 2022. "Equilibrium strategy-based economic-reliable approach for day-ahead scheduling towards solar-wind-gas hybrid power generation system: A case study from China," Energy, Elsevier, vol. 240(C).
    6. Yuzhe Xie & Yan Yao & Yawu Wang & Weiqiang Cha & Sheng Zhou & Yue Wu & Chunyi Huang, 2022. "A Cooperative Game-Based Sizing and Configuration of Community-Shared Energy Storage," Energies, MDPI, vol. 15(22), pages 1-17, November.
    7. Alassi, Abdulrahman & Bañales, Santiago & Ellabban, Omar & Adam, Grain & MacIver, Callum, 2019. "HVDC Transmission: Technology Review, Market Trends and Future Outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 530-554.
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    Cited by:

    1. Bo Yang & Jinhang Duan & Zhijian Liu & Lin Jiang, 2024. "Exploring Sustainable Development of New Power Systems under Dual Carbon Goals: Control, Optimization, and Forecasting," Energies, MDPI, vol. 17(16), pages 1-4, August.
    2. Zhiyan Ma & Guanghua Qiao, 2024. "Can Creating an Agro-Product Regional Public Brand Improve the Ability of Farmers to Sustainably Increase Their Revenue?," Sustainability, MDPI, vol. 16(9), pages 1-22, May.

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