摘要
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.
作者
武昭原
周明
王剑晓
李昂
陈琳
李庚银
WU Zhaoyuan;ZHOU Ming;WANG Jianxiao;LI Ang;CHEN Lin;LI Gengyin(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Beijing 102206,China;China Huadian Corporation Ltd.,Beijing 100031,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2022年第17期83-90,共8页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(U1866204)
中国博士后科学基金资助项目(2021M701181)。
关键词
城市能源系统
共享储能
组合拍卖
多维资源分配
贪婪算法
urban energy system
shared energy storage
combinatorial auction
multi-resource allocation
greedy algorithm
