文章提出了考虑碳配额和综合需求响应双重激励的综合能源系统(Integrated Energy System,IES)多主体博弈协同优化调度策略.首先,基于Stackelberg博弈理论,同时考虑需求侧和储能侧的主动性,建立了源-荷-储多主体博弈交互框架;其次,以IES运营商为领导者,储能运营商和用户为跟随者,建立了各利益主体的决策模型.其中,为了引导用户科学用能和降低系统碳排放量,在IES运营商模型中引入了基于碳配额和实时价格引导的双重激励政策,并以净利润最大为目标,制定售能价格和内部机组出力计划;最后,采用遗传算法结合CPLEX的两阶段算法对所提多主体博弈模型进行求解.算例仿真表明,所提的双重激励策略和博弈模型能够有效兼顾各方主体利益,在不损害各方利益的情况下,降低了系统的碳排放量,实现IES多主体低碳协同运行.
Multi agent game collaborative optimization of integrated energy system considering carbon quota and integrated demand response
This paper presents an integrated energy system(IES)multi-agent game cooperative optimal scheduling strategy considering carbon quota and integrated demand response.Firstly,based on Stackelberg game theory and considering the initiative of demand side and energy storage side,a multi-agent game interaction framework of source-load-storage is established.Secondly,with IES operators as leaders and energy storage operators and users as followers,the decision-making model of each stakeholder is established.In order to guide users to use energy scientifically and reduce system carbon emissions,a dual incentive policy based on carbon quota and real-time price guidance is introduced into IES operator model,and energy selling price and internal unit output plan are formulated with the goal of maximum net profit.Finally,genetic algorithm combined with CPLEX two-stage algorithm is used to solve the proposed multi-agent game model.The simulation results show that the proposed dual incentive strategy and game model can effectively take into account the interests of all parties,reduce the carbon emissions of the system without harming the interests of all parties,and realize the multi-agent low-carbon collaborative operation of IES.
carbon quotaintegrated energy systemintegrated demand responseStackelberg game
万方数据
维普
