基于纳什议价法的多主体虚拟电厂优化调度及效用分配策略

汤君博; 潘凯岩; 王富友; 于琪; 张琦; 黄宇翔

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

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (5) : 79-88. DOI: 10.19912/j.0254-0096.tynxb.2023-1831

基于纳什议价法的多主体虚拟电厂优化调度及效用分配策略

汤君博¹, 潘凯岩², 王富友², 于琪¹, 张琦¹, 黄宇翔³

作者信息 +

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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文章历史 +

摘要

将可控、不可控调度资源及柔性负荷聚合组成多主体虚拟电厂模型参与电能量、调峰及备用服务市场竞标决策,并定义各虚拟电厂成员的风险偏好系数λ来建立虚拟电厂日前优化调度及效用分配模型,量化各主体实际对虚拟电厂的利润贡献,并采用纳什议价法对虚拟电厂参与电力市场所获得的收益进行公平分配。算例验证纳什议价法能准确地反映虚拟电厂联盟各成员的能量出力占比、贡献度和风险分布,在利润分配时可有效平衡各方利益,提高各成员参与市场积极性与收益,所述方法较Shapley值法更具适用性。

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.

导出引用

汤君博, 潘凯岩, 王富友, 于琪, 张琦, 黄宇翔. 基于纳什议价法的多主体虚拟电厂优化调度及效用分配策略[J]. 太阳能学报. 2025, 46(5): 79-88 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1831

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

中图分类号： TM73

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