基于主从博弈的综合能源系统多能定价及调度优化

Stackelberg game-based multi-energy pricing and dispatch optimization for inte⁃ grated energy systems

双碳目标背景下,针对综合能源系统中的低碳调度问题,提出基于主从博弈的园区电-热综合能源系统多能定价及调度优化策略。首先,介绍了园区运营商与用户的交易模式;其次,建立了主从博弈模型,将园区运营商作为领导者,园区内用户负荷作为跟随者,在园区运营商模型中引入阶梯型碳交易机制,用户负荷模型考虑了用户电热需求响应。最后,采用BAS-PSO(天牛须改进粒子群)算法和CPLEX求解器求解园区运营商定价策略及用户用能策略。仿真结果表明,所提出的优化策略能有效权衡各方利益,实现用户侧负荷峰谷差的下降和碳排放量的减少。

In the context of dual carbon goals,this paper proposes a multi-energy pricing and dispatch optimization strategy for integrated electricity-heat energy systems in an industrial park,based on the Stackelberg game to ad⁃dress low-carbon scheduling issues.Firstly,the paper introduces the transaction model between the park operator and the users.Secondly,a Stackelberg game model is developed,with the park operator acting as the leader and the user loads within the park acting as followers.The park operator model incorporates a tiered carbon trading mecha⁃nism,while the user load model considers the users’electricity and heat demand response.Finally,the beetle an⁃tennae search-improved particle swarm optimization(BAS-PSO)algorithm and the CPLEX solver are utilized to de⁃termine the park operator’s pricing strategy and the users’energy consumption strategies.Simulation results demon⁃strate that the proposed optimization strategy effectively balances the interests of all parties,resulting in a reduction in the peak-to-valley difference of user loads and a decrease in carbon emissions.