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Multi-Faceted Collaborative Investment Models and Investment Benefit Assessment Under the New Type Power System

Author

Listed:
  • Peng Chen

    (State Grid Shanghai Electric Power Company Economic and Technical Research Institute, Shanghai 200002, China)

  • Li Lan

    (State Grid Shanghai Electric Power Company Economic and Technical Research Institute, Shanghai 200002, China)

  • Yanyuan Qian

    (State Grid Shanghai Electric Power Company Economic and Technical Research Institute, Shanghai 200002, China)

  • Mingxing Guo

    (State Grid Shanghai Electric Power Company Economic and Technical Research Institute, Shanghai 200002, China)

  • Wenhui Zhao

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China)

Abstract

Driven by the goal of “double carbon”, we propose an investment proportion optimization method based on cooperative game theory to optimize the investment of multiple entities and evaluate the effectiveness of the new power system. The asymmetric Nash negotiation model is introduced to balance the interests of each investment entity. At the same time, a comprehensive investment benefit evaluation index system covering economic, environmental, and social benefits is constructed, and the overall investment benefit evaluation is obtained by using the Delphi method, analytic hierarchy process, and fuzzy comprehensive evaluation method. Through the case analysis of the multi-energy complementary energy system project investment, the validity of the multi-subject investment proportion optimization model and the investment benefit analysis model are verified, and the feasibility of the project investment is demonstrated to provide theoretical guidance and practical reference for the research in related fields.

Suggested Citation

  • Peng Chen & Li Lan & Yanyuan Qian & Mingxing Guo & Wenhui Zhao, 2025. "Multi-Faceted Collaborative Investment Models and Investment Benefit Assessment Under the New Type Power System," Energies, MDPI, vol. 18(15), pages 1-26, July.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:15:p:4031-:d:1712564
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    References listed on IDEAS

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    1. Cao, Yujie & Zhang, Sufang, 2023. "Facilitating the provision of load flexibility to the power system by data centers: A hybrid research method applied to China," Utilities Policy, Elsevier, vol. 84(C).
    2. Ruan, Yunsheng & Wang, Wenqing & Abubakar, Muhammad & Ahmad, Nazeer, 2025. "Global economic resilience: Developing green growth strategies, renewable energy integration, and environmental economics for sustainability," Renewable Energy, Elsevier, vol. 251(C).
    3. Amiri-Pebdani, Sima & Alinaghian, Mahdi & Khosroshahi, Hossein, 2023. "A game theoretic approach for time-of-use pricing with considering renewable portfolio standard effects and investment in energy storage technologies under government interventions," Energy, Elsevier, vol. 282(C).
    4. Liu, Xiaoou, 2024. "Research on collaborative scheduling of internet data center and regional integrated energy system based on electricity-heat-water coupling," Energy, Elsevier, vol. 292(C).
    5. Jin, Shaorong & Xiong, Ruoyu & Peng, Huan & Tang, Shiyu, 2025. "ESG performance and private enterprise resilience: Evidence from Chinese financial markets," International Review of Financial Analysis, Elsevier, vol. 98(C).
    6. Liu, Zhibin & Wu, Jiayin, 2024. "Evaluation index system for carbon information disclosure quality in China's electric power sector based on a mutual information and back propagation neural network model," Utilities Policy, Elsevier, vol. 89(C).
    7. Zhang, Mingming & Nie, Jinchen & Su, Bin & Liu, Liyun, 2024. "An option game model applicable to multi-agent cooperation investment in energy storage projects," Energy Economics, Elsevier, vol. 131(C).
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