Matching Mechanism for Virtual Power Plants and Distributed Energy Resources Based on Gale-Shapley Algorithm

Jiajun TANG; Xiaogang WU; Si ZHANG; Xinhua WU; Zhenzhi LIN; Li YANG

doi:10.7500/AEPS20211007001

您当前的位置：

首页 >

文章列表页 >

Matching Mechanism for Virtual Power Plants and Distributed Energy Resources Based on Gale-Shapley Algorithm

Special Session on Virtual Power Plant with Enormous Flexible Resources | 更新时间：2025-06-16

- Matching Mechanism for Virtual Power Plants and Distributed Energy Resources Based on Gale-Shapley Algorithm
- Automation of Electric Power Systems Vol. 46, Issue 18, Pages: 65-73(2022)
- 作者机构：
  
  1.浙江大学电气工程学院，浙江省杭州市 310027
  2.国网浙江省电力有限公司丽水供电公司，浙江省丽水市 323000
  3.国网浙江省电力有限公司，浙江省杭州市 310027
- 作者简介：
- 基金信息：
- DOI：10.7500/AEPS20211007001
  CLC：
- Received：07 October 2021，
  
  Revised：2022-03-07，
  
  Published Online：14 June 2022，
  
  Published：25 September 2022
- 稿件说明：
移动端阅览
唐家俊,吴晓刚,张思等.基于Gale-Shapley算法的虚拟电厂与分布式资源匹配机制[J].电力系统自动化,2022,46(18):65-73.

TANG Jiajun,WU Xiaogang,ZHANG Si,et al.Matching Mechanism for Virtual Power Plants and Distributed Energy Resources Based on Gale-Shapley Algorithm[J].Automation of Electric Power Systems,2022,46(18):65-73.
唐家俊,吴晓刚,张思等.基于Gale-Shapley算法的虚拟电厂与分布式资源匹配机制[J].电力系统自动化,2022,46(18):65-73. DOI： 10.7500/AEPS20211007001.

TANG Jiajun,WU Xiaogang,ZHANG Si,et al.Matching Mechanism for Virtual Power Plants and Distributed Energy Resources Based on Gale-Shapley Algorithm[J].Automation of Electric Power Systems,2022,46(18):65-73. DOI： 10.7500/AEPS20211007001.

摘要

虚拟电厂和分布式资源的双向选择是促进存量资源聚合的关键，合理的匹配机制有利于提高整体的聚合效益。在此背景下，提出一种基于Gale-Shapley算法的虚拟电厂与分布式资源匹配机制。首先，构建面向风-光-水-储-荷一体化的虚拟电厂参与电力现货市场的收益模型，并计算虚拟电厂与分布式资源聚合产生的合作收益。然后，构建基于宽容度的分布式资源选择虚拟电厂决策模型和考虑合作倾向性的虚拟电厂接受分布式资源决策模型，分别用于支撑分布式资源和虚拟电厂在匹配过程中确定合作对象的决策，进而提出基于改进熵权-层次分析法的模型求解方法。接着，提出了基于Gale-Shapley算法的双边匹配机制，使得虚拟电厂和分布式资源能够在以各自效益最大为目标的双向选择中得到稳定的匹配结果。最后，以中国某地区虚拟电厂和分布式资源的数据为例进行验证，结果表明，与单向选择相比，双边匹配机制能有效提升总聚合收益，且基于Gale-Shapley算法的匹配机制具有单边防策略性。

Abstract

The two-way selection of virtual power plants and distributed energy resources is a key to promoting the aggregation of existing resources

and reasonable matching mechanisms are conducive to improving the overall aggregation benefits. In this context

a matching mechanism for virtual power plants and distributed energy resources is proposed. Firstly

this paper constructs a revenue model of the virtual power plant which integrates with wind power

photovoltaic

hydropower

energy storage

and load

and participates in the electricity spot market. The cooperation revenue from the aggregation of virtual power plants and distributed energy resources is calculated. Secondly

a partner selection model of virtual power plant by distributed energy resources based on the forbearance index and a partner reception model of virtual power plant for accepting distributed energy resources considering the cooperative tendency index is constructed to support the decisions of the cooperative partner for distributed energy resources and virtual power plants during matching process

respectively. Furthermore

a model solution algorithm based on the improved entropy and analytic hierarchy process is proposed. Thirdly

in order to obtain the stable matching result in two-way selection of virtual power plants and distributed energy resources with the goal of maximizing their own benefits

a bilateral matching mechanism based on Gale-Shapley algorithm is proposed. Finally

the data of virtual power plants and distributed energy resources in a certain area of China is employed for case studies

and the results show that the bilateral matching mechanism can effectively improve the total aggregation revenue compared with the one-way selection

and the matching mechanism based on Gale-Shapley algorithm has the property of unilateral strategy proof.

关键词

Keywords

references

AI Q ， FAN S L ， PIAO L J . Optimal scheduling strategy for virtual power plants based on credibility theory ［J］. Protection and Control of Modern Power Systems ， 2016 ， 1 （ 1 ）： 3 .

卫志农，陈妤，黄文进，等 . 考虑条件风险价值的虚拟电厂多电源容量优化配置模型［J］. 电力系统自动化， 2018 ， 42 （ 4 ）： 39 - 46 .

WEI Zhinong ， CHEN Yu ， HUANG Wenjin ， et al . Optimal allocation model for multi-energy capacity of virtual power plant considering conditional value-at-risk ［J］. Automation of Electric Power Systems ， 2018 ， 42 （ 4 ）： 39 - 46 .

黄昕颖，黎建，杨莉，等 . 基于投资组合的虚拟电厂多电源容量配置［J］. 电力系统自动化， 2015 ， 39 （ 19 ）： 75 - 81 .

HUANG Xinying ， LI Jian ， YANG Li ， et al . Investment portfolio based multi energy capacity allocation of virtual power plant ［J］. Automation of Electric Power Systems ， 2015 ， 39 （ 19 ）： 75 - 81 .

李翔宇，赵冬梅 . 计及可调资源动态特性的虚拟电厂多级优化配置［J］. 电力系统自动化， 2020 ， 44 （ 13 ）： 17 - 24 .

LI Xiangyu ， ZHAO Dongmei . Multi-level optimal configuration of virtual power plant considering dynamic characteristic of adjustable resources ［J］. Automation of Electric Power Systems ， 2020 ， 44 （ 13 ）： 17 - 24 .

栗然，丁星，孙帆，等 . 风险导向下基于成本效益分析的多投资商虚拟电厂容量配置模型［J］. 电力自动化设备， 2021 ， 41 （ 1 ）： 145 - 153 .

LI Ran ， DING Xing ， SUN Fan ， et al . Risk-oriented capacity configuration model for multi-investor virtual power plant based on cost-benefit analysis ［J］. Electric Power Automation Equipment ， 2021 ， 41 （ 1 ）： 145 - 153 .

NEXT-KRAFTWERKE . Our company： a virtual power plant for energy conversion ［EB/OL］. ［ 2021-06-27 ］. https：//www.next- kraftwerke.de/unternehmen https://www.next-kraftwerke.de/unternehmen .

云秋晨，田立亭，齐宁，等 . 基于投资组合理论的虚拟电厂资源优化组合方法［J］. 电力系统自动化， 2022 ， 46 （ 1 ）： 146 - 154 .

YUN Qiuchen ， TIAN Liting ， QI Ning ， et al . Optimization method of resource combination for virtual power plant based on modern portfolio theory ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 1 ）： 146 - 154 .

王睿卓，刘怀东，崔丽瑶，等 . 计及综合效率评价的火-风-储-高载能企业虚拟电厂成员选择模型［J/OL］. 电网技术［ 2021-06-16 ］. http：//kns.cnki.net/kcms/detail/11.2410.TM.20200810.0944.002.html http://kns.cnki.net/kcms/detail/11.2410.TM.20200810.0944.002.html .

WANG Ruizhuo ， LIU Huaidong ， CUI Liyao ， et al . Member selection model of thermal-wind-storage-EIE virtual power plant considering comprehensive efficiency evaluation ［J/OL］. Power System Technology ［ 2021-06-16 ］. http：//kns.cnki.net/kcms/detail/11.2410.TM.20200810.0944.002.html http://kns.cnki.net/kcms/detail/11.2410.TM.20200810.0944.002.html .

WANG L ， WU W ， LU Q ， et al . Optimal aggregation approach for virtual power plant considering network reconfiguration ［J］. Journal of Modern Power Systems and Clean Energy ， 2021 ， 9 （ 3 ）： 495 - 501 .

张智，卢峰，林振智，等 . 考虑用户有限理性的售电公司峰谷组合电力套餐设计［J］. 电力系统自动化， 2021 ， 45 （ 16 ）： 114 - 123 .

ZHANG Zhi ， LU Feng ， LIN Zhenzhi ， et al . Peak-valley combination electricity package design for electricity retailer considering bounded rationality of consumers ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 16 ）： 114 - 123 .

崔屹峰，李珍国，魏思雨，等 . 面向需求响应的温控负荷单元随机选择模型［J］. 电力系统自动化， 2021 ， 45 （ 19 ）： 126 - 132 .

CUI Yifeng ， LI Zhenguo ， WEI Siyu ， et al . Random selection model of thermostatically controlled load units for demand response ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 19 ）： 126 - 132 .

ROTH A E . The college admissions problem is not equivalent to the marriage problem ［J］. Journal of Economic Theory ， 1985 ， 36 （ 2 ）： 277 - 288 .

ZHANG Z ， JIANG Y ， LIN Z ， et al . Optimal alliance strategies among retailers under energy deviation settlement mechanism in China's forward electricity market ［J］. IEEE Transactions on Power Systems ， 2020 ， 35 （ 3 ）： 2059 - 2071 .

CHANG J ， LI H ， SUN B . Matching knowledge suppliers and demanders on a digital platform： a novel method ［J］. IEEE Access ， 2019 ， 7 ： 21331 - 21342 .

关于印发浙江电力现货市场第四次结算试运行工作方案的通知［EB/OL］.［ 2021-10-11 ］. http：//fzggw.zj.gov.cn/art/2021/2/25/art_1229123367_2268575.html http://fzggw.zj.gov.cn/art/2021/2/25/art_1229123367_2268575.html .

Notice on printing and distributing the pilot operation working scheme for the fourth settlement of the Zhejiang electric power spot market ［EB/OL］. ［ 2021-10-11 ］. http：//fzggw.zj.gov.cn/art/2021/2/25/art_1229123367_2268575.html http://fzggw.zj.gov.cn/art/2021/2/25/art_1229123367_2268575.html .

CHARTIER T . The model thinker： what you need to know to make data work for you ［J］. Math Horizons ， 2019 ， 26 （ 4 ）： 29 .

SALAH F ， HENRÍQUEZ R ， WENZEL G ， et al . Portfolio design of a demand response aggregator with satisficing consumers ［J］. IEEE Transactions on Smart Grid ， 2019 ， 10 （ 3 ）： 2475 - 2484 .

唐家俊，张智，杨莉，等 . 考虑地域优势及合作成本的增量配售电公司联盟策略［J］. 电力系统自动化， 2021 ， 45 （ 20 ）： 84 - 92 .

TANG Jiajun ， ZHANG Zhi ， YANG Li ， et al . Alliance strategy for incremental distribution and retail companies considering geographical advantage and cooperation cost ［J］. Automation of Electric Power Systems ， 2021 ， 45 （ 20 ）： 84 - 92 .

宋军英，何聪，李欣然，等 . 基于特征指标降维及熵权法的日负荷曲线聚类方法［J］. 电力系统自动化， 2019 ， 43 （ 20 ）： 65 - 72 .

SONG Junying ， HE Cong ， LI Xinran ， et al . Daily load curve clustering method based on feature index dimension reduction and entropy weight method ［J］. Automation of Electric Power Systems ， 2019 ， 43 （ 20 ）： 65 - 72 .

章枫，赵雅雪，周子青，等 . 基于级差最大化AHP-熵权法的日前市场运营状态评估［J］. 浙江电力， 2020 ， 39 （ 12 ）： 90 - 98 .

ZHANG Feng ， ZHAO Yaxue ， ZHOU Ziqing ， et al . Operating status evaluation of day-ahead electricity market based on AHP-entropy weight method with maximum variance ［J］. Zhejiang Electric Power ， 2020 ， 39 （ 12 ）： 90 - 98 .

宋军英，崔益伟，李欣然，等 . 基于欧氏动态时间弯曲距离与熵权法的负荷曲线聚类方法［J］. 电力系统自动化， 2020 ， 44 （ 15 ）： 87 - 94 .

SONG Junying ， CUI Yiwei ， LI Xinran ， et al . Load curve clustering method based on Euclidean dynamic time warping distance and entropy weight ［J］. Automation of Electric Power Systems ， 2020 ， 44 （ 15 ）： 87 - 94 .

SATTERTHWAITE M A . Strategy-proofness and arrow’s conditions： existence and correspondence theorems for voting procedures and social welfare functions ［J］. Journal of Economic Theory ， 1975 ， 10 （ 2 ）： 187 - 217 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Automatic Power Control of Direct-controlled Virtual Power Plant Based on Multi-feeder Load Coordination in Distribution Network

Business Model and Key Technologies of Virtual Power Plant for New Power System

Current Status and Architecture Design of Standardization for Virtual Power Plants

Related Author

XU Jian

LEI Xichun

KE Deping

SUN Yuanzhang

LIAO Siyang

Xinxin GE

Zhiyang FU

Fei XU

Related Institution

Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network (Wuhan University)

School of Electrical Engineering and Automation, Wuhan University

Department of Electrical Engineering, North China Electric Power University

Department of Mathematics and Physics, North China Electric Power University

State Key Laboratory of Power System and Generation Equipment (Tsinghua University)

⁰