碳约束下基于双重博弈的电力零售商售电价格决策优化

Price Decision Optimization for Electricity Retailers Based on Dual Game under Carbon Constraints

在碳约束下,市场中的多零售商竞争售电和多用户购电给电力零售商制定售电价格提高自身利润带来了挑战。为解决零售商售电价格制定的问题,提出了在碳约束条件下多电力零售商竞争售电和多用户购电的双重博弈价格决策优化模型。首先,建立各市场参与者的决策模型。其次,建立并描述电力零售商的双重博弈架构,其中,各电力零售商间构成非合作博弈,各零售商与各用户间构成主从博弈。然后,采用循环迭代嵌套IPOPT求解器的方法求解零售商的双重博弈问题。最后,通过仿真算例对所提模型进行验证分析。仿真结果表明,通过所提模型寻优合理的售电价格可以实现各零售商自身售电利润的最大化,同时用户也能通过博弈模型得到最优的购电策略,以提升用电综合满意度。

Under carbon constraints,multiple retailers competing for sale of electricity and multiple users purchasing electricity in the market bring challenges to electricity retailers in setting their selling price to increase their own profits.Thereby,a dual game price decision optimization model for multiple electricity retailers competing for sale of electricity and multiple users purchasing electricity is proposed to address the issue of retail electricity pricing under carbon constraints.Firstly,a decision-making model for each market participant is established.Secondly,a dual game framework is established for electricity retailers,in which noncooperative games are formed among electricity retailers,and master-slave games are formed between retailers and users.And then,the loop nested solver IPOPT is used to solve the dual game problem of retailers.Finally,the proposed model is validated and analyzed through simulation examples.The simulation shows that the retailers can realize their profit maximization through the proposed model to optimize reasonable electricity selling price,and at the same time the users can obtain the optimal electricity purchase strategy through the game model to improve their comprehensive satisfaction of electricity consumption.