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Microgrid source-network-load-storage master-slave game optimization method considering the energy storage overcharge/overdischarge risk

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  • Guo, Tianyu
  • Guo, Qi
  • Huang, Libin
  • Guo, Haiping
  • Lu, Yuanhong
  • Tu, Liang

Abstract

--This paper selects the whole microgrid system as the master and renewable energy, energy storage, and load as the game's slave. It builds a master-slave game optimization model for coordinating the microgrid's source-network-load-storage. The master's goal in the microgrid game is to minimize the overall operation cost. The slave in the renewable energy game aims to minimize the operation cost of renewable energy while considering penalties for wind and PV curtailment. The slave in the energy storage game focuses on optimizing energy storage regulation performance and considers overcharge/discharge risks. Meanwhile, in the load game, the slave aims for the highest power quality and improves load power quality as much as possible while preserving demand response capability to enhance system flexibility. The case analysis shows after 45 games, all game participants can achieve Stackelberg equilibrium, effectively balancing multi-party benefits and improving safety and regulation capabilities of energy storage operations. The microgrid operation scheme based on this method maintains the existing microgrid operation mode and ensures safe and stable system operation.

Suggested Citation

  • Guo, Tianyu & Guo, Qi & Huang, Libin & Guo, Haiping & Lu, Yuanhong & Tu, Liang, 2023. "Microgrid source-network-load-storage master-slave game optimization method considering the energy storage overcharge/overdischarge risk," Energy, Elsevier, vol. 282(C).
    • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223022910
    DOI: 10.1016/j.energy.2023.128897
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    References listed on IDEAS

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    Cited by:

    1. Gang Liang & Yu Wang & Bing Sun & Zheng Zhang, 2024. "An Optimization Method for the Distributed Collaborative Operation of Multilateral Entities Considering Dynamic Time-of-Use Electricity Price in Active Distribution Network," Energies, MDPI, vol. 17(2), pages 1-19, January.

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