具有激励相容和能源共享特性的混合储能组合拍卖

吴雄; 麻淞; 何雯雯; 刘炳文; 张子裕; 王鹏磊

doi:10.7652/xjtuxb202309017

您当前的位置：

首页 >

文章列表页 >

具有激励相容和能源共享特性的混合储能组合拍卖

—————————————————————— | 更新时间：2025-07-09

- 具有激励相容和能源共享特性的混合储能组合拍卖
- Hybrid Energy Storage Portfolio Auction Based on Vickrey-Clarke-Groves Mechanism and Energy Sharing
- 西安交通大学学报 2023年57卷第9期页码：162-173
- 作者机构：
  
  1. 西安交通大学电气工程学院,西安,710054
  2. 中国长江三峡集团有限公司,武汉,430000
- 作者简介：
  
  : 2023-02-10。作者简介: 吴雄(1986—),男,副教授,博士生导师。基金项目: 国家重点研发计划资助项目(2021YFB2400700)
- 基金信息：
  
  : 2023-02-10。作者简介: 吴雄(1986—),男,副教授,博士生导师。基金项目: 国家重点研发计划资助项目(2021YFB2400700);中国长江三峡集团有限公司科研资助项目(202303056)。
- DOI：10.7652/xjtuxb202309017
  中图分类号： F426.61;TM73;F724.59
- 网络首发：2023-09-10，
  
  纸质出版：2023
- 稿件说明：
移动端阅览
吴雄, 麻淞, 何雯雯, 等. 具有激励相容和能源共享特性的混合储能组合拍卖[J]. 西安交通大学学报, 2023,57(9):162-173.

WU Xiong, MA Song, HE Wenwen, et al. Hybrid Energy Storage Portfolio Auction Based on Vickrey-Clarke-Groves Mechanism and Energy Sharing[J]. 2023, 57(9): 162-173.
吴雄, 麻淞, 何雯雯, 等. 具有激励相容和能源共享特性的混合储能组合拍卖[J]. 西安交通大学学报, 2023,57(9):162-173. DOI： 10.7652/xjtuxb202309017.

WU Xiong, MA Song, HE Wenwen, et al. Hybrid Energy Storage Portfolio Auction Based on Vickrey-Clarke-Groves Mechanism and Energy Sharing[J]. 2023, 57(9): 162-173. DOI： 10.7652/xjtuxb202309017.

摘要

针对综合能源微网单独配置储能经济性较低的问题

建立了一个经济高效的电-热混合能源共享模型

多个综合能源微网共享一个电-热混合储能装置。在电-热混合储能容量共享的研究中

采用了一种基于多物品拍卖理论的混合储能组合拍卖方法:每个微网分别提交多组不同的电、热储能容量需求以及相应的投标价格

分别竞拍电化学储能容量和储热罐容量

利用这些储能容量达到节省购电费用的目的。储能运营商则以社会福利最大化为目标决定拍卖的结果

即储能容量如何分配给各微网可以最大化其效用。在最后的费用结算过程中采用维克瑞-克拉克-格罗夫(Vickrey-Clarke-Groves

VCG)机制计算各微网需要支付的费用。由于VCG机制具有激励相容性

各微网没有虚假报价的动机

都倾向于提交真实的投标价格

保证了组合拍卖结果具有最大的社会福利。算例结果表明

在社会福利方面

所提的混合储能组合拍卖模式相比于一般的共享储能模式更具优势。

Abstract

Aiming at the problem of the low energy storage economy of the separate configuration of integrated energy microgrids

a cost-effective electro-heat hybrid energy sharing model was established in the paper in which multiple integrated energy microgrids shared a single electro-heat hybrid energy storage device. In the research of electricity-heat hybrid energy storage capacity sharing

a hybrid energy storage combination auction method based on multi-item auction theory was adopted: Each microgrid submits multiple sets of different electricity and heat storage capacity requirements and corresponding bidding prices

bids for electrochemical energy storage capacity and heat storage tank capacity respectively

and uses the energy storage capacity to save the costs of purchasing electricity. Energy storage operators determined the outcome of the auction with the goal of maximizing social welfare

that is

how to allocate the energy storage capacity to each microgrid to maximize its utility. In the final fee settlement process

the Vickrey-Clarke-Groves(VCG)mechanism was used to calculate the fees to be paid by each microgrid. Due to the incentive compatibility of the VCG mechanism

each microgrid had no incentive to make false quotations and tended to submit the real bid price

which ensured that the combined auction results had the greatest social welfare. The example results show that in terms of social welfare

the hybrid energy storage portfolio auction proposed in this paper has more advantages than the general shared energy storage model.

关键词

Keywords

references

陈寒, 唐忠, 鲁家阳, 等. 基于CVaR量化不确定性的微电网优化调度研究 [J]. 电力系统保护与控制, 2021, 49(5): 105-115.

CHEN Han, TANG Zhong, LU Jiayang, et al. Research on optimal dispatch of a microgrid based on CVaR quantitative uncertainty [J]. Power System Protection and Control, 2021, 49(5): 105-115.

SALAMA H S, MAGDY G, BAKEER A, et al. Adaptive coordination control strategy of renewable energy sources, hydrogen production unit, and fuel cell for frequency regulation of a hybrid distributed power system [J]. Protection and Control of Modern Power Systems, 2022, 7(1): 34.

白斌, 韩明亮, 林江, 等. 含风电和光伏的可再生能源场景削减方法 [J]. 电力系统保护与控制, 2021, 49(15): 141-149.

BAI Bin, HAN Mingliang, LIN Jiang, et al. Scenario reduction method of renewable energy including wind power and photovoltaic [J]. Power System Protection and Control, 2021, 49(15): 141-149.

孙伟卿, 罗静, 张婕. 高比例风电接入的电力系统储能容量配置及影响因素分析 [J]. 电力系统保护与控制, 2021, 49(15): 9-18.

SUN Weiqing, LUO Jing, ZHANG Jie. Energy storage capacity allocation and influence factor analysis of a power system with a high proportion of wind power [J]. Power System Protection and Control, 2021, 49(15): 9-18.

颜全椿, 顾文, 范立新, 等. 储能协助风电机组参与电网调频控制策略研究 [J]. 现代电力, 2022, 39(5): 537-546.

YAN Quanchun, GU Wen, FAN Lixin, et al. Energy storage assists wind turbines to participate in grid frequency regulation control strategy research [J]. Modern Electric Power, 2022, 39(5): 537-546.

丁凯, 郑剑, 李伟, 等. 基于用户侧储能的电压暂降分级治理方案及其经济性分析 [J]. 储能科学与技术, 2022, 11(10): 3381-3390.

DING Kai, ZHENG Jian, LI Wei, et al. Hierarchical voltage sag mitigation scheme based on user-side energy storage systems and its economic analysis [J]. Energy Storage Science and Technology, 2022, 11(10): 3381-3390.

党晓圆, 赖伟. 基于能量套利的储能价值评估模型 [J]. 现代电子技术, 2021, 44(23): 180-186.

DANG Xiaoyuan, LAI Wei. Energy storage value assessment model based on energy arbitrary [J]. Modern Electronics Technique, 2021, 44(23): 180-186.

陈睿彬, 陆玲霞, 包哲静, 等. 电池储能系统参与用户侧削峰填谷的鲁棒优化调度策略 [J]. 电力建设, 2022, 43(10): 66-76.

CHEN Ruibin, LU Lingxia, BAO Zhejing, et al. Robust optimal dispatch strategy for battery energy storage system participating in user-side peak load shifting [J]. Electric Power Construction, 2022, 43(10): 66-76.

何海婷, 柳亦兵, 巴黎明, 等. 用于平滑风力发电机输出功率的储能系统配置研究 [J]. 可再生能源, 2022, 40(7): 945-951.

HE Haiting, LIU Yibing, BA Liming, et al. Research on energy storage system configurations of smoothing wind turbine output power [J]. Renewable Energy Resources, 2022, 40(7): 945-951.

YAN Xiaohe, GU Chenghong, WYMAN-PAIN H, et al. Capacity share optimization for multiservice energy storage management under portfolio theory [J]. IEEE Transactions on Industrial Electronics, 2019, 66(2): 1598-1607.

SHI Yuanyuan, XU Bolun, WANG Di, et al. Using battery storage for peak shaving and frequency regulation: joint optimization for superlinear gains [C]//2018 IEEE Power Energy Society General Meeting(PESGM). Piscataway, NJ, USA: IEEE, 2018: 1.

SHARMA I, DONG Jin, MALIKOPOULOS A A, et al. A modeling framework for optimal energy management of a residential building [J]. Energy and Buildings, 2016, 130: 55-63.

赵淑敏, 陈俊. 基于全寿命周期成本的光伏+储能投资效益分析 [J]. 电工技术, 2022(16): 42-45.

ZHAO Shumin, CHEN Jun. Benefit analysis of photovoltaic+ energy storage investment based on life cycle cost [J]. Electric Engineering,2022(16): 42-45.

高松, 何俊, 杨松坤, 等. 基于交替方向乘子法的多微电网能量共享方法研究 [J]. 电网与清洁能源, 2022, 38(6): 113-120.

GAO Song, HE Jun, YANG Songkun, et al. Energy management of interconnected microgrid based on alternating direction method of multipliers method [J]. Power System and Clean Energy, 2022, 38(6): 113-120.

郑海林, 温步瀛, 朱振山, 等. 共享储能模式下多微电网博弈优化方法 [J]. 电器与能效管理技术, 2022(2): 12-20.

ZHENG Hailin, WEN Buying, ZHU Zhenshan, et al. Optimization of multi microgrid game method under shared energy storage mode [J]. Electrical Energy Management Technology,2022(2): 12-20.

吴锦领, 楼平, 管敏渊, 等. 基于非对称纳什谈判的多微网电能共享运行优化策略 [J]. 电网技术, 2022, 46(7): 2711-2721, 27-28.

WU Jinling, LOU Ping, GUAN Minyuan, et al. Operation optimization strategy of multi-microgrids energy sharing based on asymmetric Nash bargaining [J]. Power System Technology, 2022, 46(7): 2711-2721, 27-28.

李咸善, 方子健, 李飞, 等. 含多微电网租赁共享储能的配电网博弈优化调度 [J]. 中国电机工程学报, 2022, 42(18): 6611-6624.

LI Xianshan, FANG Zijian, LI Fei, et al. Game-based optimal dispatching strategy for distribution network with multiple microgrids leasing shared energy storage [J]. Proceedings of the CSEE, 2022, 42(18): 6611-6624.

李笑竹, 陈来军, 殷骏, 等. 面向低碳供能的多园区共享氢储能系统容量规划 [J]. 高电压技术, 2022, 48(7): 2534-2544.

LI Xiaozhu, CHEN Laijun, YIN Jun, et al. Capacity planning of multiple parks shared hydrogen energy storage system for low-carbon energy supply [J]. High Voltage Engineering, 2022, 48(7): 2534-2544.

张青苗, 陈来军, 马恒瑞, 等. 基于主从博弈的共享储能分时电价策略 [J]. 智慧电力, 2022, 50(7): 82-88.

ZHANG Qingmiao, CHEN Laijun, MA Hengrui, et al. Time-of-use price strategy for shared energy storage based on Stackelberg game [J]. Smart Power, 2022, 50(7): 82-88.

冶兆年, 赵长禄, 王永真, 等. 基于纳什议价的共享储能能源互联网络双目标优化 [J]. 综合智慧能源, 2022, 44(7): 40-48.

YE Zhaonian, ZHAO Changlu, WANG Yongzhen, et al. Dual-objective optimization of energy networks with shared energy storage based on Nash bargaining [J]. Integrated Intelligent Energy, 2022, 44(7): 40-48.

KALATHIL D, WU Chenye, POOLLA K, et al. The sharing economy for the electricity storage [J]. IEEE Transactions on Smart Grid, 2019, 10(1): 556-567.

CHAKRABORTY P, BAEYENS E, POOLLA K, et al. Sharing storage in a smart grid: a coalitional game approach [J]. IEEE Transactions on Smart Grid, 2019, 10(4): 4379-4390.

XIE Kan, ZHONG Weifeng, LI Weijun, et al. Distributed capacity allocation of shared energy storage using online convex optimization [J]. Energies, 2019, 12(9): 1642.

ZHAO Dongwei, WANG Hao, HUANG Jianwei, et al. Virtual energy storage sharing and capacity allocation [J]. IEEE Transactions on Smart Grid, 2020, 11(2): 1112-1123.

LAI Shuying, QIU Jing, TAO Yuechuan. Credit-based pricing and planning strategies for hydrogen and electricity energy storage sharing [J]. IEEE Transactions on Sustainable Energy, 2022, 13(1): 67-80.

ZHANG Hanlin, ZHOU Suyang, GU Wei, et al. Optimal operation of micro-energy grids considering shared energy storage systems and balanced profit allocations [J]. CSEE Journal of Power and Energy Systems, 2023, 9(1): 254-271.

CAO Wenzhi, XIAO Jiangwen, CUI Shichang, et al. An efficient and economical storage and energy sharing model for multiple multi-energy microgrids [J]. Energy, 2022, 244(Part B): 123124.

ZHONG Weifeng, XIE Kan, LIU Yi, et al. Topology-aware vehicle-to-grid energy trading for active distribution systems [J]. IEEE Transactions on Smart Grid, 2019, 10(2): 2137-2147.

SAMADI P, MOHSENIAN-RAD H, SCHOBER R, et al. Advanced demand side management for the future smart grid using mechanism design [J]. IEEE Transactions on Smart Grid, 2012, 3(3): 1170-1180.

ZHOU Ruiting, LI Zongpeng, WU Chuan, et al. Demand response in smart grids: a randomized auction approach [J]. IEEE Journal on Selected Areas in Communications, 2015, 33(12): 2540-2553.

KRYSTA P, TELELIS O, VENTRE C. Mechanisms for multi-unit combinatorial auctions with a few distinct goods [C]//Proceedings of the 2013 International Conference on Autonomous Agents and Multi-Agent Systems. Richland, SC, USA: IFAAMAS Press, 2013: 691-698.

KRYSTA P, TELELIS O, VENTRE C. Near-optimal approximation mechanisms for multi-unit combinatorial auctions[C]//Proceedings of the 24th International Conference on Artificial Intelligence. Palo Alto, CA, USA: AAAI Press, 2015: 4275-4281.

NISAN N, RONEN A. Computationally feasible VCG mechanisms [J]. Journal of Artificial Intelligence Research, 2007, 29(1): 19-47.

MEDIWATHTHE C P, SHAW M, HALGAMUGE S, et al. An Incentive-Compatible energy trading framework for neighborhood area networks with shared energy storage [J]. IEEE Transactions on Sustainable Energy, 2020, 11(1): 467-476.

DAI Rui, ESMAEILBEIGI R, CHARKHGARD H. The utilization of shared energy storage in energy systems: a comprehensive review [J]. IEEE Transactions on Smart Grid, 2021, 12(4): 3163-3174.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

EBSILON软件在热电联产系统优化中的应用综述

采用试验设计方法的第三代CO2气体箔轴承箔片几何参数敏感性分析

张角凹坑气膜孔对双层壁气膜冷却特性的影响

多工况下离心压气机叶轮-机匣一体联合设计优化

结构-语义-残差协同的图像压缩框架：面向隐私保护与高保真重建