基于综合需求响应的电-气联合运行决策博弈研究
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1.三峡大学电气与新能源学院;2.三峡大学梯级水电站运行与控制湖北省重点实验室湖北宜昌;3.广西电网有限责任公司钦州供电局

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TM715

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(计及热量迁移动态过程的电热耦合系统时空异构动态优化调度方法,52007103)


Research on Decision-making Game of Power-Gas Joint Operation Base on Integrated Demand Response
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Affiliation:

1.College of electricity and new energy,Three Gorges University;2.Key Laboratory of cascade hydropower station operation and control,Three Gorges University;3.Qinzhou Power Supply Bureau of Guangxi power grid limited liability company

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    摘要:

    考虑到当前向国际社会承诺的“碳达峰,碳中和”目标,针对电-气联合运行中多方利益的诉求,运用动态主从博弈理论,在考虑碳排放和综合需求响应的情况下,建立以供电公司为主体,家庭负荷聚合集群为从体的博弈模型。通过家庭负荷聚合的的多能联合负荷特性和价格需求响应的不确定性,得到博弈双方支付函数。考虑能源结构的碳排放折算,以供能方收益最大,需求侧支付费用最低为目标,建立主从博弈模型。主方以价格为策略集,从方以需求响应为策略集,通过最优反应函数结合非支配排序遗传算法求解并筛选主从博弈均衡解。通过算例仿真验证,所设立模型可实现主体和从体各方的社会效益与经济效益最优化,为能源互联下的市场决策优化运行提供参考。

    Abstract:

    Considering the current commitment to the international community of the "carbon peak, carbon neutral" target, aiming at the demand of multi-interests in the combined operation of electricity and gas,Based on the dynamic master-slave game theory and considering carbon emissions and integrated demand response, a game model with the power supply company as the main body and household load aggregation cluster as the slave body is established. According to the multi-energy combined load characteristics of household load aggregation and the uncertainty of price demand response, the payoff function of the two players in the game is obtained. Considering the carbon emission conversion of the energy structure, a master-slave game model was established with the goal of maximizing the income of the energy supply side and minimizing the payment cost of the demand side. Considering the carbon emission conversion of the energy structure, a master-slave game model was established with the goal of maximizing the income of the energy supply side and minimizing the payment cost of the demand side. The master party takes price as the strategy set, and the slave party takes demand response as the strategy set. The optimal response function and the non-dominated sorting genetic algorithm are used to solve the master-slave game equilibrium solution. The simulation results show that the proposed model can optimize the social and economic benefits of the subjects and the participants, and provide a reference for the optimal operation of market decision-making under the context of energy interconnection.

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  • 收稿日期:2021-08-26
  • 最后修改日期:2022-03-25
  • 录用日期:2022-03-28
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