程宇, 郭权利. 计及动态能源价格和共享储能电站的多主体综合能源系统双层优化调度策略[J]. 现代电力, 2024, 41(1): 10-20. DOI: 10.19725/j.cnki.1007-2322.2022.0378
引用本文: 程宇, 郭权利. 计及动态能源价格和共享储能电站的多主体综合能源系统双层优化调度策略[J]. 现代电力, 2024, 41(1): 10-20. DOI: 10.19725/j.cnki.1007-2322.2022.0378
CHENG Yu, GUO Quanli. Bi-level Optimal Scheduling Strategy of Multi-agent Integrated Energy System With Dynamic Energy Prices and Shared Energy Storage Power Station[J]. Modern Electric Power, 2024, 41(1): 10-20. DOI: 10.19725/j.cnki.1007-2322.2022.0378
Citation: CHENG Yu, GUO Quanli. Bi-level Optimal Scheduling Strategy of Multi-agent Integrated Energy System With Dynamic Energy Prices and Shared Energy Storage Power Station[J]. Modern Electric Power, 2024, 41(1): 10-20. DOI: 10.19725/j.cnki.1007-2322.2022.0378

计及动态能源价格和共享储能电站的多主体综合能源系统双层优化调度策略

Bi-level Optimal Scheduling Strategy of Multi-agent Integrated Energy System With Dynamic Energy Prices and Shared Energy Storage Power Station

  • 摘要: 可再生能源不确定性背景下,为协调综合能源运营商、电热负荷聚集商及共享储能电站之间的利益关系,提出一种电热综合动态定价机制,基于综合需求响应特性,引导电热负荷聚集商参与综合能源系统运营商优化,促进储能高效应用和新能源就地消纳,实现多利益主体互利共赢。以综合能源系统运营商为主体,以电热负荷聚集商和共享储能运营商为从体,构建一主多从的综合能源多运营主体系统优化模型。充分挖掘共享储能运营商的运行模式,包括充电、放电和提供备用等模式。采用CPLEX对主从博弈模型迭代求解,算例结果验证了模型及方法的有效性。

     

    Abstract: Under the background of uncertainty of renewable energy uncertainty, in order to coordinate the interest relationship among comprehensive energy operators, electric heating load aggregators and shared energy storage power stations, a comprehensive dynamic pricing mechanism for electricity and heat was proposed, which guides electric heating load aggregators based on the characteristics of integrated demand response to participate in the optimization of integrated energy system operators, promote efficient application of energy storage and local consumption of new energy, and achieve mutual benefit and win-win results for multiple stakeholders. With the integrated energy system operator as the main body, and the electric heating load aggregators and the shared energy storage operators as the secondary body, an integrated energy multi-operator system optimization model with one master and multiple slaves was constructed. Fully explore the operation mode of shared energy storage operators, including charging, discharging and providing reserve modes. CPLEX was used to iteratively solve the master-slave game model, and the results of the example verify the validity of the model and method.

     

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