Operation Method of Shared Energy Storage for Urban Power Energy Based on Combinatorial Auction

Zhaoyuan WU; Ming ZHOU; Jianxiao WANG; Ang LI; Lin CHEN; Gengyin LI

doi:10.7500/AEPS20211229003

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Operation Method of Shared Energy Storage for Urban Power Energy Based on Combinatorial Auction

Special Topic on Urban Energy Systems for Carbon Emission Peak and Carbon Neutrality | 更新时间：2025-06-16

- Operation Method of Shared Energy Storage for Urban Power Energy Based on Combinatorial Auction
- Automation of Electric Power Systems Vol. 46, Issue 17, Pages: 83-90(2022)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(U1866204);Post-doctoral Science Foundation of China(2021M701181)
- DOI：10.7500/AEPS20211229003
  CLC：
- Received：29 December 2021，
  
  Revised：2022-05-04，
  
  Published Online：01 July 2022，
  
  Published：10 September 2022
- 稿件说明：
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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.

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。

Abstract

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.

关键词

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references

杨帆，王维庆，程静，等 . 基于误差分配原则的发电侧共享储能容量规划研究［J］. 电力系统保护与控制， 2022 ， 50 （ 7 ）： 91 - 102 .

YANG Fan ， WANG Weiqing ， CHENG Jing ， et al . Capacity planning of shared energy storage on the generation side based on the error distribution principle ［J］. Power System Protection and Control ， 2022 ， 50 （ 7 ）： 91 - 102 .

叶晨，王蓓蓓，薛必克，等 . 考虑超售的共享分布式光储混合运营模式协同策略研究［J］. 电工技术学报， 2022 ， 37 （ 7 ）： 1836 - 1846 .

YE Chen ， WANG Beibei ， XUE Bike ， et al . Study on the coordination strategy of sharing distributed photovoltaic energy storage hybrid operation mode considering overselling ［J］. Transactions of China Electrotechnical Society ， 2022 ， 37 （ 7 ）： 1836 - 1846 .

DING J ， XU Y J ， CHEN H S ， et al . Value and economic estimation model for grid-scale energy storage in monopoly power markets ［J］. Applied Energy ， 2019 ， 240 ： 986 - 1002 .

武昭原，周明，王剑晓，等 . 双碳目标下提升电力系统灵活性的市场机制综述［J/OL］. 中国电机工程学报［ 2022-02-22 ］. http：//dx.doi.org/10.13334/j.0258-8013.pcsee.212117 http://dx.doi.org/10.13334/j.0258-8013.pcsee.212117 .

WU Zhaoyuan ， ZHOU Ming ， WANG Jianxiao ， et al . Review on market mechanism to enhance the flexibility of power system under the dual-carbon target ［J/OL］. Proceedings of the CSEE ［ 2022-02-22 ］. http：//dx.doi.org/10.13334/j.0258-8013.pcsee.212117 http://dx.doi.org/10.13334/j.0258-8013.pcsee.212117 .

陈玥，刘锋，魏韡，等 . 需求侧能量共享：概念、机制与展望［J］. 电力系统自动化， 2021 ， 45 （ 2 ）： 1 - 11 .

CHEN Yue ， LIU Feng ， WEI Wei ， et al . Energy sharing at demand side： concept， mechanism and prospect ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 2 ）： 1 - 11 .

邱伟强，王茂春，林振智，等 . “双碳”目标下面向新能源消纳场景的共享储能综合评价［J］. 电力自动化设备， 2021 ， 41 （ 10 ）： 244 - 255 .

QIU Weiqiang ， WANG Maochun ， LIN Zhenzhi ， et al . Comprehensive evaluation of shared energy storage towards new energy accommodation scenario under targets of carbon emission peak and carbon neutrality ［J］. Electric Power Automation Equipment ， 2021 ， 41 （ 10 ）： 244 - 255 .

帅轩越，王秀丽，吴雄，等 . 计及电热需求响应的共享储能容量配置与动态租赁模型［J］. 电力系统自动化， 2021 ， 45 （ 19 ）： 24 - 32 .

SHUAI Xuanyue ， WANG Xiuli ， WU Xiong ， et al . Shared energy storage capacity allocation and dynamic lease model considering electricity-heat demand response ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 19 ）： 24 - 32 .

康重庆，刘静琨，张宁 . 未来电力系统储能的新形态：云储能［J］. 电力系统自动化， 2017 ， 41 （ 21 ）： 2 - 8 .

KANG Chongqing ， LIU Jingkun ， ZHANG Ning . A new form of energy storage in future power system： cloud energy storage ［J］. Automation of Electric Power Systems ， 2017 ， 41 （ 21 ）： 2 - 8 .

XIE K ， HUI H X ， DING Y . Review of modeling and control strategy of thermostatically controlled loads for virtual energy storage system ［J］. Protection and Control of Modern Power Systems ， 2019 ， 4 （ 1 ）： 23 .

李咸善，解仕杰，方子健，等 . 多微电网共享储能的优化配置及其成本分摊［J］. 电力自动化设备， 2021 ， 41 （ 10 ）： 44 - 51 .

LI Xianshan ， XIE Shijie ， FANG Zijian ， et al . Optimal configuration of shared energy storage for multi-microgrid and its cost allocation ［J］. Electric Power Automation Equipment ， 2021 ， 41 （ 10 ）： 44 - 51 .

张巍，卢骧 . 点对点交易下储能聚合商共享自营多模式交易模型［J］. 电力系统自动化， 2022 ， 46 （ 2 ）： 15 - 23 .

ZHANG Wei ， LU Xiang . Sharing and self-operating multi-mode trading model of energy storage aggregators with peer-to-peer trade ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 2 ）： 15 - 23 .

ZHOU Y ， WU J Z ， LONG C . Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework ［J］. Applied Energy ， 2018 ， 222 ： 993 - 1022 .

ZHANG W Y ， ZHENG B S ， WEI W ， et al . Peer-to-peer transactive mechanism for residential shared energy storage ［J］. Energy ， 2022 ， 246 ： 123204 .

WALKER A ， KWON S . Design of structured control policy for shared energy storage in residential community： a stochastic optimization approach ［J］. Applied Energy ， 2021 ， 298 ： 117182 .

陈启鑫，王克道，陈思捷，等 . 面向分布式主体的可交易能源系统：体系架构、机制设计与关键技术［J］. 电力系统自动化， 2018 ， 42 （ 3 ）： 1 - 7 .

CHEN Qixin ， WANG Kedao ， CHEN Sijie ， et al . Transactive energy system for distributed agents： architecture， mechanism design and key technologies ［J］. Automation of Electric Power Systems ， 2018 ， 42 （ 3 ）： 1 - 7 .

LIU J K ， ZHANG N ， KANG C Q ， et al . Cloud energy storage for residential and small commercial consumers： a business case study ［J］. Applied Energy ， 2017 ， 188 ： 226 - 236 .

WU Z Y ， ZHOU M ， WANG J X ， et al . Profit-sharing mechanism for aggregation of wind farms and concentrating solar power ［J］. IEEE Transactions on Sustainable Energy ， 2020 ， 11 （ 4 ）： 2606 - 2616 .

LOMBARDI P ， SCHWABE F . Sharing economy as a new business model for energy storage systems ［J］. Applied Energy ， 2017 ， 188 ： 485 - 496 .

ZHONG W F ， XIE K ， LIU Y ， et al . Multi-resource allocation of shared energy storage： a distributed combinatorial auction approach ［J］. IEEE Transactions on Smart Grid ， 2020 ， 11 （ 5 ）： 4105 - 4115 .

ZAIDI B H ， BHATTI D M S ， ULLAH I . Combinatorial auctions for energy storage sharing amongst the households ［J］. Journal of Energy Storage ， 2018 ， 19 ： 291 - 301 .

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