ENERGY TRADING OPTIMIZATION METHOD FOR MULTI-MICROGRID SYSTEMS BASED ON STACKELBERG GAME

Zhou Lidan, Song Xiuhan, Yu Tianyou, Wang Ziqiang, Tang Yi

Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (9) : 642-649.

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (9) : 642-649. DOI: 10.19912/j.0254-0096.tynxb.2024-0719

ENERGY TRADING OPTIMIZATION METHOD FOR MULTI-MICROGRID SYSTEMS BASED ON STACKELBERG GAME

  • Zhou Lidan1, Song Xiuhan1, Yu Tianyou2, Wang Ziqiang2, Tang Yi3
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Abstract

To solve the problem of energy trading in the power market of multi-microgrid systems in the distribution network side, this paper proposes an optimization method for energy trading in multi-microgrid systems based on Stackelberg game. Firstly, the energy storage output and transaction status of the microgrid in the game stage are determined by single microgrid optimization strategy. Secondly, the optimization results of microgrid operation scheduling are interacted with the distribution system operator (DSO), and a Stackelberg game model is established to engage in the game with internal electricity prices and dispatchable energy as the strategy. The optimization operation objective of the proposed method is to reduce the operation cost of microgrid, improve the operation efficiency of DSO, and reduce the impact of the multi-microgrid on regional power grid. The feasibility of the game strategy is verified by simulation cases.

Key words

multi-microgrid systems / Stackelberg game / electricity market / energy transaction / optimal operation / energy management

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Zhou Lidan, Song Xiuhan, Yu Tianyou, Wang Ziqiang, Tang Yi. ENERGY TRADING OPTIMIZATION METHOD FOR MULTI-MICROGRID SYSTEMS BASED ON STACKELBERG GAME[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 642-649 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0719

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