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Shared energy storage with multi-microgrids: Coordinated development and economic–social–environmental comprehensive assessment under supply–demand uncertainties

Author

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  • Yang, Xiaohui
  • Yi, Xinlan
  • Wang, Hongye
  • Li, Longxi

Abstract

Coordinated development of multi-microgrids and shared energy storage optimizes resource allocation, enhances renewable energy utilization, and mitigates environmental impacts. However, stakeholder conflicts and supply–demand uncertainties pose significant challenges. This study proposes a bi-level interaction framework for coordinated planning, optimizing shared energy storage pricing via genetic algorithms to determine optimal leasing, scheduling, and configuration strategies, exhibiting strong scalability and adaptability in large-scale systems. Wasserstein metric-distributed robust optimization and stochastic planning address supply–demand uncertainties, enhancing robustness and reducing the model’s over-conservatism. Leveraging complementary charging and discharging behaviors, the model minimizes storage investment, improves resource utilization, stabilizes the system, and achieves over 95% renewable energy absorption, fostering a sustainable business model. Given the diversification of energy storage technologies, a rigorous value assessment method is essential. This study constructs an economic–social–environmental evaluation framework for shared energy storage based on life cycle thinking, externality theory, and sharing economy principles. Employing the analytic hierarchy process, the framework quantifies stakeholder benefits, responsibility allocation, and profit potential, including arbitrage from off-peak storage and peak-time discharge, grid pressure alleviation, and enhanced renewable energy integration. Finally, analysis of subsidy policies and the positive externalities of expanding peak-to-valley differentials offers policy insights for cleaner, more resilient, and sustainable energy systems.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:renene:v:249:y:2025:i:c:s0960148125007633
    DOI: 10.1016/j.renene.2025.123101
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    1. Zhou, Yuekuan, 2023. "Sustainable energy sharing districts with electrochemical battery degradation in design, planning, operation and multi-objective optimisation," Renewable Energy, Elsevier, vol. 202(C), pages 1324-1341.
    2. Volpato, Gabriele & Carraro, Gianluca & De Giovanni, Luigi & Dal Cin, Enrico & Danieli, Piero & Bregolin, Edoardo & Lazzaretto, Andrea, 2024. "A stochastic optimization procedure to design the fair aggregation of energy users in a Renewable Energy Community," Renewable Energy, Elsevier, vol. 237(PA).
    3. ., 2017. "The concept of economic welfare," Chapters, in: Morality and Power, chapter 6, pages 59-68, Edward Elgar Publishing.
    4. Kong, Xue & Wang, Hongye & Li, Nan & Mu, Hailin, 2022. "Multi-objective optimal allocation and performance evaluation for energy storage in energy systems," Energy, Elsevier, vol. 253(C).
    5. Li, Yonggang & Zhang, Yuanjin & Su, Yaotong & Wu, Weinong & Xia, Lei, 2024. "Optimal economic configuration by sharing hydrogen storage while considering distributed demand response in hydrogen-based renewable microgrid," Renewable Energy, Elsevier, vol. 235(C).
    6. Xiang, Yue & Cai, Hanhu & Gu, Chenghong & Shen, Xiaodong, 2020. "Cost-benefit analysis of integrated energy system planning considering demand response," Energy, Elsevier, vol. 192(C).
    7. Ma, Mingtao & Huang, Huijun & Song, Xiaoling & Peña-Mora, Feniosky & Zhang, Zhe & Chen, Jie, 2022. "Optimal sizing and operations of shared energy storage systems in distribution networks: A bi-level programming approach," Applied Energy, Elsevier, vol. 307(C).
    8. Walker, Awnalisa & Kwon, Soongeol, 2021. "Design of structured control policy for shared energy storage in residential community: A stochastic optimization approach," Applied Energy, Elsevier, vol. 298(C).
    9. Zhou, Yuqi & Yu, Wenbin & Zhu, Shanying & Yang, Bo & He, Jianping, 2021. "Distributionally robust chance-constrained energy management of an integrated retailer in the multi-energy market," Applied Energy, Elsevier, vol. 286(C).
    10. Pu, Yuchen & Li, Qi & Huo, Shasha & Breaz, Elena & Chen, Weirong & Gao, Fei, 2024. "Optimal configuration for shared electric-hydrogen energy storage for multiple integrated energy systems with mobile hydrogen transportation," Renewable Energy, Elsevier, vol. 237(PC).
    11. Xu, Jiazhu & Yi, Yuqin, 2023. "Multi-microgrid low-carbon economy operation strategy considering both source and load uncertainty: A Nash bargaining approach," Energy, Elsevier, vol. 263(PB).
    12. Zhang, Tianhan & Qiu, Weiqiang & Zhang, Zhi & Lin, Zhenzhi & Ding, Yi & Wang, Yiting & Wang, Lianfang & Yang, Li, 2023. "Optimal bidding strategy and profit allocation method for shared energy storage-assisted VPP in joint energy and regulation markets," Applied Energy, Elsevier, vol. 329(C).
    13. Bian, Yifan & Xie, Lirong & Ye, Jiahao & Ma, Lan, 2024. "A new shared energy storage business model for data center clusters considering energy storage degradation," Renewable Energy, Elsevier, vol. 225(C).
    14. Dai, Bin & Wang, Honglei & Li, Bin & Li, Chengjiang & Tan, Zhukui, 2024. "Capacity model and optimal scheduling strategy of multi-microgrid based on shared energy storage," Energy, Elsevier, vol. 306(C).
    15. Aghdam, Farid Hamzeh & Mudiyanselage, Manthila Wijesooriya & Mohammadi-Ivatloo, Behnam & Marzband, Mousa, 2023. "Optimal scheduling of multi-energy type virtual energy storage system in reconfigurable distribution networks for congestion management," Applied Energy, Elsevier, vol. 333(C).
    16. Fang, Yuchen & Han, Jianpei & Du, Ershun & Jiang, Haiyang & Fang, Yujuan & Zhang, Ning & Kang, Chongqing, 2024. "Electric energy system planning considering chronological renewable generation variability and uncertainty," Applied Energy, Elsevier, vol. 373(C).
    17. Li, Gaojunjie & Yang, Jun & Hu, Zhijian & Zhu, Xu & Xu, Jian & Sun, Yuanzhang & Zhan, Xiangpeng & Wu, Fuzhang, 2023. "A novel price-driven energy sharing mechanism for charging station operators," Energy Economics, Elsevier, vol. 118(C).
    18. Li, Chengzhou & Wang, Ningling & Wang, Zhuo & Dou, Xiaoxiao & Zhang, Yumeng & Yang, Zhiping & Maréchal, François & Wang, Ligang & Yang, Yongping, 2022. "Energy hub-based optimal planning framework for user-level integrated energy systems: Considering synergistic effects under multiple uncertainties," Applied Energy, Elsevier, vol. 307(C).
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    2. 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).

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