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1.新能源电力系统国家重点实验室(华北电力大学),北京市 102206
2.中国华电集团有限公司,北京市 100031
武昭原(1994—),男,博士,讲师,主要研究方向:电力市场、电力系统灵活性等。E-mail:wuzy@ncepu.edu.cn
周明(1967—),女,博士,教授,博士生导师,主要研究方向:新能源电力系统分析和运行、电力市场等。E-mail:zhouming@ncepu.edu.cn
王剑晓(1992—),男,通信作者,博士,讲师,硕士生导师,主要研究方向:氢能与先进储能、综合能源与物理信息系统、电力市场与电力系统规划、智能电网数据分析等。E-mail:wangjx@ncepu.edu.cn
收稿日期:2021-12-29,
修回日期:2022-05-04,
网络出版日期:2022-07-01,
纸质出版日期:2022-09-10
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武昭原,周明,王剑晓等.基于组合拍卖的城市能源系统共享储能运行方法[J].电力系统自动化,2022,46(17):83-90.
WU Zhaoyuan,ZHOU Ming,WANG Jianxiao,et al.Operation Method of Shared Energy Storage for Urban Power Energy Based on Combinatorial Auction[J].Automation of Electric Power Systems,2022,46(17):83-90.
武昭原,周明,王剑晓等.基于组合拍卖的城市能源系统共享储能运行方法[J].电力系统自动化,2022,46(17):83-90. DOI: 10.7500/AEPS20211229003.
WU Zhaoyuan,ZHOU Ming,WANG Jianxiao,et al.Operation Method of Shared Energy Storage for Urban Power Energy Based on Combinatorial Auction[J].Automation of Electric Power Systems,2022,46(17):83-90. DOI: 10.7500/AEPS20211229003.
大量分布式可再生能源的接入给城市能源系统的灵活高效运行带来了新的挑战,以分布式储能为代表的具有快速响应能力的需求侧灵活性资源得到了广泛关注。然而,中国当前辅助服务市场机制的不健全导致储能难以实现成本回收,特别是对于城市能源系统而言,较长的投资回收期阻碍了分布式储能资源进一步投资建设。在此背景下,共享储能被视为提升储能利用率,实现城市能源系统中分布式储能成本疏导的有效途径。为此,文中首先设计了基于组合拍卖的共享储能运营模式,并在此基础上建立了考虑共享储能多维参数耦合的使用权分配模型,考虑到共享储能组合拍卖为非确定性多项式困难问题,提出了能够在多项式时间内高效求解的近似算法。为激励各市场成员真实披露自身的共享储能租赁需求,设计了基于捆绑定价的共享储能使用权支付和结算机制。算例结果证明了在大规模市场成员参与下所提算法的有效性。
The integration of a large number of distributed renewable energy has brought new challenges to the flexible and efficient operation of urban energy system. Demand-side flexible resources with rapid response capability
such as distributed energy storage
have attracted extensive attention. However
the imperfection of China's current auxiliary service market mechanism makes it difficult to realize the cost recovery of energy storage
especially in urban energy system. The long investment recovery period hinders further investment and construction of distributed energy storage resources. In this context
shared energy storage is regarded as an effective way to improve energy storage utilization and realize the cost recovery of distributed energy storage. Therefore
this paper first designs the framework of shared energy storage based on the combinatorial auction and establishes the winner determination model considering the multi-dimensional coupling of shared energy storage. Considering that the combinatorial auction of shared energy storage is a non-deterministic polynomial hard (NP-hard) problem
this paper proposes an approximate algorithm that can solve efficiently in polynomial time. To encourage market members to disclose their shared energy storage leasing needs truly
a payment and settlement mechanism for the usage rights of the shared energy storage based on bundle pricing is designed. The results of the algorithm demonstrate the effectiveness of the proposed algorithm with the participation of large-scale market members.
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