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A novel energy cooperation framework for multi-island microgrids based on marine mobile energy storage systems

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  • Wu, Chuantao
  • Zhou, Dezhi
  • Lin, Xiangning
  • Sui, Quan
  • Wei, Fanrong
  • Li, Zhengtian

Abstract

Energy cooperation between multi-island microgrids can improve overall economics. However, some island microgrids, especially in the pelagic ocean, do not have the engineering conditions for laying submarine cables. For such island microgrids, marine mobile energy storage systems, i.e., vessel-mounted container energy storage systems, can be used to achieve energy exchange. Nevertheless, it is debatable how to realize energy trading for island microgrids under this scenario. This paper first proposes a novel energy cooperation framework for multi-island microgrids based on marine mobile energy storage systems to realize energy sharing. Firstly, an energy transportation operator is defined to manage marine mobile energy storage systems and trade with island microgrids. Secondly, a bi-layer energy trading problem is modeled via the analytical target cascading method. The upper layer is energy trading between island microgrids and the energy transportation operator, and the lower layer assigns scheduling tasks to each marine mobile energy storage system. Furthermore, a benefit-sharing mechanism based on the asymmetric Nash bargaining model is designed. Especially, a nonlinear contribution mapping method with the exponential function is presented to determine the contributions of island microgrids. Finally, numerical simulations verify the effectiveness of the proposed energy cooperation framework.

Suggested Citation

  • Wu, Chuantao & Zhou, Dezhi & Lin, Xiangning & Sui, Quan & Wei, Fanrong & Li, Zhengtian, 2022. "A novel energy cooperation framework for multi-island microgrids based on marine mobile energy storage systems," Energy, Elsevier, vol. 252(C).
  • Handle: RePEc:eee:energy:v:252:y:2022:i:c:s036054422200963x
    DOI: 10.1016/j.energy.2022.124060
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    10. Li, Jiale & Yang, Bo & Pan, Zhenning & Li, Hongbiao & Gao, Dengke & Jiang, Lin, 2025. "Stackelberg-Nash bargaining-based low-carbon scheduling for multiple integrated multi-energy systems," Energy, Elsevier, vol. 339(C).
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    14. Zhang, Qingzhu & Mu, Yunfei & Jia, Hongjie & Jiang, Qian & Yu, Xiaodan & Hou, Kai, 2026. "Multistage optimized planning for the alliance expansion of multiple island microgrids with shared hybrid energy storage systems: A Nash bargaining-based game approach," Applied Energy, Elsevier, vol. 406(C).
    15. Li, Jinmeng & Liu, Da & Wang, Jiaying & Bao, Guanglu & Shi, Mengfei, 2025. "Collaborative configuration optimization of renewable energy generation capacity for islanded microgrid clusters: A decision-making framework based on multi-criteria flexible interaction and shared mobile energy storage," Energy, Elsevier, vol. 333(C).
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    17. Dong, Lei & Lin, Hao & Qiao, Ji & Zhang, Tao & Zhang, Shiming & Pu, Tianjiao, 2024. "A coordinated active and reactive power optimization approach for multi-microgrids connected to distribution networks with multi-actor-attention-critic deep reinforcement learning," Applied Energy, Elsevier, vol. 373(C).
    18. Hairui Wei & Ziming Qi, 2025. "Pricing Strategy for Sustainable Recycling of Power Batteries Considering Recycling Competition Under the Reward–Penalty Mechanism," Sustainability, MDPI, vol. 17(16), pages 1-33, August.
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