OPTIMAL SCHEDULING AND UTILITY ALLOCATION STRATEGY FOR MULTI-AGENT VIRTUAL POWER PLANTS BASED ON NASH BARGAINING METHOD

Tang Junbo; Pan Kaiyan; Wang Fuyou; Yu Qi; Zhang qi; Huang Yuxiang

doi:10.19912/j.0254-0096.tynxb.2023-1831

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (5) : 79-88. DOI: 10.19912/j.0254-0096.tynxb.2023-1831

OPTIMAL SCHEDULING AND UTILITY ALLOCATION STRATEGY FOR MULTI-AGENT VIRTUAL POWER PLANTS BASED ON NASH BARGAINING METHOD

Tang Junbo¹, Pan Kaiyan², Wang Fuyou², Yu Qi¹, Zhang qi¹, Huang Yuxiang³

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Abstract

During the operation of virtual power plants, numerous risks arise due to the influence of internal and external factors, especially the risk factors brought by uncertain factors such as un dispatchable unit members and loads to the system operation decision-making. In order to realize the optimization strategy and profit distribution in virtual power plants, it is necessary to consider the influence of different risk preferences. In this paper, the controllable and uncontrollable scheduling resources and flexible loads are aggregated to form a multi-agent virtual power plant model to participate in the bidding decision-making of electric energy, peak shaving and standby service market, and the risk preference coefficient λ of each virtual power plant member is defined to establish the day ahead optimal scheduling and utility allocation model of virtual power plant, quantify the actual profit contributions of each entity to the virtual power plant, and adopt the Nash bargaining method for fair distribution of the benefits obtained by the virtual power plant participating in the power market. The case study verifies that Nash bargaining method can accurately reflect the energy output proportion, contribution and risk distribution of each member of the virtual power plant alliance, effectively balance the interests of all parties in profit distribution, and improve the participation enthusiasm and profitability of each member to participate in the market. The method is more applicable than Shapley value method.

Key words

virtual power plants / optimization / risk analysis / profitability / Nash bargaining method / economic dispatch

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Tang Junbo, Pan Kaiyan, Wang Fuyou, Yu Qi, Zhang qi, Huang Yuxiang. OPTIMAL SCHEDULING AND UTILITY ALLOCATION STRATEGY FOR MULTI-AGENT VIRTUAL POWER PLANTS BASED ON NASH BARGAINING METHOD[J]. Acta Energiae Solaris Sinica. 2025, 46(5): 79-88 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1831

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