基于主从博弈的配电网与光充换储电站集群双层优化调度

Dual-Layer Optimization Scheduling of Distribution Networks and Photovoltaic Charging-Swapping-Storage Integrated Stations Clusters Based on Master-Slave Game

中文关键词:光充换储一体化电站  主从博弈  双层优化  高渗透率配电网  内部电价

keywords:photovoltaic charging-swapping-storage inte-grated station  master-slave game  dual-layer optimization  high-penetration distribution network  internal electricity prices

中文摘要:针对高渗透率配电网下光充换储一体化电站的经济运行优化问题，提出了光充换储一体化电站 （photovoltaic charging-swapping-storage integrated station，PCSSIS）集群与配电网系统双层优化调度模型。构建了主从博弈模型，上层以高渗透率配电网为决策主体，在考虑PCSSISi电能交易的基础上，以自身收益最大化为目标。下层以PCSSISi为决策主体，PCSSISi根据上层配电网给出的内部电价进行能量流动以及收益优化。并采用差分进化算法和GUROBI求解器求解PCSSISi与配电网最大收益、内部电价以及用电量。算例分析表明，所提策略提升了调度模型的经济性，实现了配电网与PCSSIS的互利共赢。

Abstract:This paper proposes a dual-layer optimization scheduling model for the economical operation of Photovoltaic Charging-Swapping-Storage Integrated Stations （PCSSIS） clusters and distribution grid systems within high-penetration distribution networks. Initially， a master-slave game model is constructed， with the upper layer considering the high-penetration distribution network as the decision-making entity， aiming to maximize its own revenue while taking into account PCSSIS energy transactions. The lower layer features PCSSIS as the decision-making entity， where PCSSIS adjusts energy flow and revenue optimization based on the internal electricity price provided by the upper-layer distribution network. Subsequently， the differential evolution algorithm and GUROBI solver are employed to maximize the revenue of PCSSIS and the distribution grid， while determining the internal electricity price and electricity consumption. Finally， the effectiveness of the proposed approach is confirmed through illustrative examples from simulations.