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Game-based planning model of wind-solar energy storage capacity allocation in microgrids

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  • Minghao, Liu
  • Yuhang, Chen
  • Zhonghe, Han
  • Zhiquan, Wu

Abstract

The rational allocation of microgrids' wind, solar, and storage capacity is essential for new energy utilization in regional power grids. This paper uses game theory to construct a planning model for wind-solar energy storage systems, considering their techno-economic characteristics. By calculating equilibrium allocations and benefits and combining equilibrium concepts with the principle of maximum entropy, it evaluates the probability of different microgrid types with multiple decision-makers, expanding the decision-making space. The benefit function is adjusted according to this probability distribution, recalculating capacities and benefits for wind-solar energy storage systems to reflect real competitive environments accurately.

Suggested Citation

  • Minghao, Liu & Yuhang, Chen & Zhonghe, Han & Zhiquan, Wu, 2025. "Game-based planning model of wind-solar energy storage capacity allocation in microgrids," Utilities Policy, Elsevier, vol. 95(C).
    • Handle: RePEc:eee:juipol:v:95:y:2025:i:c:s0957178725000451
    DOI: 10.1016/j.jup.2025.101930
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    References listed on IDEAS

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    1. Xue Zhou & Jianan Shou & Weiwei Cui, 2022. "A Game-Theoretic Approach to Design Solar Power Generation/Storage Microgrid System for the Community in China," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    2. Zhang, Ning & Yu, Yanghao & Wu, Jiawei & Du, Ershun & Zhang, Shuming & Xiao, Jinyu, 2024. "Optimal configuration of concentrating solar power generation in power system with high share of renewable energy resources," Renewable Energy, Elsevier, vol. 220(C).
    3. Han, Xiaojuan & Wang, Zuran & Li, Haoyu & Liu, Muran, 2025. "Cooperative game robust optimization control for wind-solar-shared energy storage integrated system based on dual-settlement mode and multiple uncertainties," Applied Energy, Elsevier, vol. 378(PA).
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