冀瑞强, 胡健, 张晓杰, 王蕾, 杨自娟. 基于第三方服务的楼宇集群共享储能成本优化[J]. 高电压技术, 2024, 50(6): 2523-2536. DOI: 10.13336/j.1003-6520.hve.20231379
引用本文: 冀瑞强, 胡健, 张晓杰, 王蕾, 杨自娟. 基于第三方服务的楼宇集群共享储能成本优化[J]. 高电压技术, 2024, 50(6): 2523-2536. DOI: 10.13336/j.1003-6520.hve.20231379
JI Ruiqiang, HU Jian, ZHANG Xiaojie, WANG Lei, YANG Zijuan. Cost Optimization of Shared Energy Storage in Building Cluster Based on Service of a Third-party Agent[J]. High Voltage Engineering, 2024, 50(6): 2523-2536. DOI: 10.13336/j.1003-6520.hve.20231379
Citation: JI Ruiqiang, HU Jian, ZHANG Xiaojie, WANG Lei, YANG Zijuan. Cost Optimization of Shared Energy Storage in Building Cluster Based on Service of a Third-party Agent[J]. High Voltage Engineering, 2024, 50(6): 2523-2536. DOI: 10.13336/j.1003-6520.hve.20231379

基于第三方服务的楼宇集群共享储能成本优化

Cost Optimization of Shared Energy Storage in Building Cluster Based on Service of a Third-party Agent

  • 摘要: 分布式可再生能源发电设备在城市中日益普及,配置储能是应对其出力不确定性的有效措施。采用广义纳什议价理论提出了一种基于第三方服务的楼宇集群共享储能成本优化模型。以楼宇、储能运营商在主从博弈纳什均衡时的运行成本作为谈判破裂点,建立楼宇、储能运营商多主体纳什议价模型,并等效转化为系统运行成本最小子问题和虚拟储能议价子问题。在虚拟储能议价子问题中,针对一般纳什议价过程中各主体议价能力无差异的问题,采用年度充放电量衡量楼宇对共享储能系统的贡献,并作为议价能力参数参与协商制定虚拟储能容量租赁价格。算例结果表明:纳什议价机制下楼宇和储能运营商具有平等的议价权,可获得比主从博弈机制下更低的虚拟储能容量租赁价格,从而使楼宇运行成本下降,储能运营商收益提升,实现了共享储能系统经济效益的全局最优。基于充放电量构建的议价能力参数体现了楼宇对共享储能系统贡献的差异性,可提高楼宇参与共享储能的积极性,缩短储能运营商的静态投资回收期。

     

    Abstract: Distributed renewable energy is becoming popular in cities, and the use of energy storage is an effective measure to cope with the uncertainty of renewable energy. An optimization model for the operating cost of a shared energy storage system, which is provided by the service of a third-party agent, is proposed based on generalized Nash bargaining. The operating cost of each subject in the Nash equilibrium of the master-slave game is taken as the disagreement point, and a Nash bargaining model of buildings and energy storage agent is established. The model can be transformed into two sub-problems: minimization of the operating cost and pricing bargaining of virtual energy storage. In the sub-problem of virtual energy storage bargaining, the electricity of charging and discharging is used to measure the contribution of buildings and is used as a bargaining power parameter to negotiate with the energy storage agent to set the leasing price of virtual energy storage jointly. The simulation result shows that buildings and energy storage agent have equal bargaining rights under the Nash bargaining, which results in lower leasing price, thus the operating cost of the buildings can be reduced, the revenue of the energy storage agent can be enhanced, and the global optimal economic efficiency of the shared energy storage system can be achieved. Moreover, compared with the general Nash bargaining, the method, which is based on bargaining power, can reflect the difference in the contribution of each subject. Therefore, the enthusiasm of buildings participating in energy storage sharing can be stimulated and the payback period of investment of energy storage agent can be shortened.

     

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