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Peer-to-peer power trading and pricing for rental energy storage shared community microgrid: A coordinated Stackelberg and cooperative game

Author

Listed:
  • Li, Ping
  • Chen, Jiajia
  • Yang, Hui
  • Lin, Zhenjia

Abstract

The configuration of photovoltaic (PV) and energy storage (ES) systems for prosumers can significantly reduce their electricity bills. However, the high initial investment cost and prolonged recovery cycle of ES systems hinder their large-scale adoption. This paper proposes an ES renting and sharing business model to operate a community microgrid with multiple PV prosumers. The model derives a coordinated Stackelberg and cooperative game to thoroughly investigate peer-to-peer (P2P) power trading and pricing among prosumers, shared rental ES, and distribution system operator (DSO). Firstly, a Stackelberg game-based bi-level iterative optimization is proposed to capture the interaction between the DSO and multiple stakeholders, aiming to derive optimal P2P trading and pricing under PV uncertainty. Additionally, an asymmetric cooperative game is presented to ensure coalition cost minimization and fair profit distribution between prosumers and shared rental ES. To address the privacy concerns of prosumers and enhance computational efficiency, an adaptive direction multiplier method (A-ADMM) is utilized to solve the cooperative game. Numerical simulations demonstrate the effectiveness of the proposed model in reducing the operational costs of the community microgrid while enhancing the level of PV power sharing among prosumers. The model also achieves a fair distribution of cooperative profits among the multiple prosumers and the shared rental ES alliance.

Suggested Citation

  • Li, Ping & Chen, Jiajia & Yang, Hui & Lin, Zhenjia, 2026. "Peer-to-peer power trading and pricing for rental energy storage shared community microgrid: A coordinated Stackelberg and cooperative game," Renewable Energy, Elsevier, vol. 256(PB).
  • Handle: RePEc:eee:renene:v:256:y:2026:i:pb:s0960148125016271
    DOI: 10.1016/j.renene.2025.123963
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    References listed on IDEAS

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    1. Jiang, Qian & Jia, Hongjie & Mu, Yunfei & Yu, Xiaodan & Wang, Zibo, 2024. "Bilateral planning and operation for integrated energy service provider and prosumers - A Nash bargaining-based method," Applied Energy, Elsevier, vol. 368(C).
    2. Yan, Haoran & Hou, Hongjuan & Deng, Min & Si, Lengge & Wang, Xi & Hu, Eric & Zhou, Rhonin, 2024. "Stackelberg game theory based model to guide users’ energy use behavior, with the consideration of flexible resources and consumer psychology, for an integrated energy system," Energy, Elsevier, vol. 288(C).
    3. Meng, Yuxiang & Ma, Gang & Yao, Yunting & Li, Hao, 2024. "Nash bargaining based integrated energy agent optimal operation strategy considering negotiation pricing for tradable green certificate," Applied Energy, Elsevier, vol. 356(C).
    4. Tushar, Wayes & Yuen, Chau & Saha, Tapan K. & Morstyn, Thomas & Chapman, Archie C. & Alam, M. Jan E. & Hanif, Sarmad & Poor, H. Vincent, 2021. "Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges," Applied Energy, Elsevier, vol. 282(PA).
    5. Sun, Lingling & Qiu, Jing & Han, Xiao & Yin, Xia & Dong, Zhao Yang, 2020. "Capacity and energy sharing platform with hybrid energy storage system: An example of hospitality industry," Applied Energy, Elsevier, vol. 280(C).
    6. Wang, Zhuo & Hou, Hui & Zhao, Bo & Zhang, Leiqi & Shi, Ying & Xie, Changjun, 2024. "Risk-averse stochastic capacity planning and P2P trading collaborative optimization for multi-energy microgrids considering carbon emission limitations: An asymmetric Nash bargaining approach," Applied Energy, Elsevier, vol. 357(C).
    7. Zhang, M.Y. & Chen, J.J. & Yang, Z.J. & Peng, K. & Zhao, Y.L. & Zhang, X.H., 2021. "Stochastic day-ahead scheduling of irrigation system integrated agricultural microgrid with pumped storage and uncertain wind power," Energy, Elsevier, vol. 237(C).
    8. Duan, Pengfei & Zhao, Bingxu & Zhang, Xinghui & Fen, Mengdan, 2023. "A day-ahead optimal operation strategy for integrated energy systems in multi-public buildings based on cooperative game," Energy, Elsevier, vol. 275(C).
    9. Yang, Xiaohui & Yi, Xinlan & Wang, Hongye & Li, Longxi, 2025. "Shared energy storage with multi-microgrids: Coordinated development and economic–social–environmental comprehensive assessment under supply–demand uncertainties," Renewable Energy, Elsevier, vol. 249(C).
    10. Mohseni, Shayan & Pishvaee, Mir Saman, 2023. "Energy trading and scheduling in networked microgrids using fuzzy bargaining game theory and distributionally robust optimization," Applied Energy, Elsevier, vol. 350(C).
    11. Wang, Yifeng & Jiang, Aihua & Wang, Rui & Tian, Junyang, 2024. "A canonical coalitional game model incorporating motivational psychology analysis for incentivizing stable direct energy trading in smart grid," Energy, Elsevier, vol. 289(C).
    12. Eklund, Melissa & Voinov, Alexey & Hossain, M.J. & Khalilpour, Kaveh, 2025. "Evaluating the interplay of community behaviour and microgrid design through optimisation modelling in local energy markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).
    13. Sun, Guoqiang & Shen, Sichen & Chen, Sheng & Zhou, Yizhou & Wei, Zhinong, 2022. "Bidding strategy for a prosumer aggregator with stochastic renewable energy production in energy and reserve markets," Renewable Energy, Elsevier, vol. 191(C), pages 278-290.
    14. Moazzen, Farid & Hossain, M.J., 2025. "A two-layer strategy for sustainable energy management of microgrid clusters with embedded energy storage system and demand-side flexibility provision," Applied Energy, Elsevier, vol. 377(PD).
    15. Ju, Liwei & Bai, Xiping & Li, Gen & Gan, Wei & Qi, Xin & Ye, Fan, 2024. "Two-stage robust transaction optimization model and benefit allocation strategy for new energy power stations with shared energy storage considering green certificate and virtual energy storage mode," Applied Energy, Elsevier, vol. 362(C).
    16. Wang, Y.X. & Chen, J.J. & Zhao, Y.L. & Xu, B.Y., 2024. "Incorporate robust optimization and demand defense for optimal planning of shared rental energy storage in multi-user industrial park," Energy, Elsevier, vol. 301(C).
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