摘要
冷热电耦合的共享储能可以更显著地提高微网多种能源的利用效率与消纳水平。然而,多能耦合的共享储能进一步增加了多微网之间协调运行的难度,故而提出了一种考虑多能耦合共享储能的微网多智能体混合博弈协调优化模型。首先,围绕多能耦合共享储能进行建模,从冷、热、电3个维度构建元件的运行模型。其次,提出了一种计及多能耦合共享储能协作的微网混合博弈双层协调调度模型。上层部分为基于主从博弈的微网运营商日内电价优化模型,以微网运营商的日内收益最大化为目标,综合考虑电价上下限约束和购售电价平均值约束,为下层协作运行提供响应电价;下层部分为基于合作博弈的微网间协作运行策略模型,以产消者和共享储能电站的合作成本为目标,综合考虑机组出力上下限约束和功率平衡约束,为上层反馈合作成本用于指导电价优化调整。然后,在混合博弈模型求解时,以电价变动率为收敛判据,同时采用二分法处理电价约束以加速模型求解。最后,采用多智能体协调优化的微网系统验证了所提方法的有效性。
Shared energy storage with cooling,heating and power coupling can more significantly improve the utilization efficiency and accommodation level of multi-energy sources in microgrids.However,the multi-energy coupled shared energy storage further increases the difficulty of coordinated operation among multi-microgrids.Therefore,a coordinated optimization model of mixed microgrid multi-agent game is proposed considering multi-energy coupled shared energy storage.First,the model is carried out around the multi-energy coupled shared energy storage,and the operation model of the components is constructed from three dimensions of cooling,heating and power.Then,a two-layer coordinated scheduling model of mixed microgrid game is proposed considering the collaboration of multi-energy coupled shared energy storage.The upper layer is an intraday electricity price optimization model for microgrid operators based on Stackelberg game,which aims at maximizing the microgrid operators’intraday revenues,and provides a responsive electricity price for the lower collaborative operation with the comprehensive consideration of the upper and lower constraints on the electricity price and the constraints on the average of the purchase and sale prices.The lower layer is a cooperative operation strategy model based on cooperation game,which takes the cooperation cost of producers and sellers and shared energy storage as the goal,comprehensively considers the upper and lower limits of unit output constraints and power balance constraints,and provides feedback cooperation cost for the upper layer to guide the optimization and adjustment of electricity price.Then,the change rate of electricity price is used as the convergence criterion,and the bifurcation method is used to deal with the constraints of electricity price to accelerate the model solution in the mixed game model solution.Finally,the effectiveness of the proposed method is verified by using a microgrid system with the multi-agent coordinated optimization.
作者
林墨涵
刘佳
唐早
曾平良
蒋标
马公瑾
LIN Mohan;LIU Jia;TANG Zao;ZENG Pingliang;JIANG Biao;MA Gongjin(School of Automation,Hangzhou Dianzi University,Hangzhou 310018,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2024年第4期132-141,共10页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(U2166211)
国家自然科学基金青年项目(52207085)
浙江省科技计划资助项目(2023C01142)。
关键词
共享储能
冷热电联产
混合博弈
定价机制
综合能源系统
shared energy storage
combined cooling,heating and power
mixed game
pricing mechanism
integrated energy system
