Collaborative Dispatch Method for Distribution Network with Multiple Thermostatically-controlled Load Clusters Based on Aggregation Dimensionality-reduction

PAN Li; TANG Zao; LIU Junyong; LIU Youbo; HUANG Zhenyu

doi:10.7500/AEPS20250609008

您当前的位置：

首页 >

文章列表页 >

Collaborative Dispatch Method for Distribution Network with Multiple Thermostatically-controlled Load Clusters Based on Aggregation Dimensionality-reduction

Basic Research | 更新时间：2026-02-28

- Collaborative Dispatch Method for Distribution Network with Multiple Thermostatically-controlled Load Clusters Based on Aggregation Dimensionality-reduction
- Automation of Electric Power Systems Vol. 50, Issue 3, Pages: 48-56(2026)
- 作者机构：
  
  1.四川大学电气工程学院，四川省成都市 610065
  2.杭州电子科技大学自动化学院，浙江省杭州市 310018
  3.香港科技大学（广州）可持续能源与环境学院，广东省广州市 511453
- 作者简介：
- 基金信息：
  
  National Key R&D Program of China(U2066209);Natural Science Foundation of Zhejiang Province(LMS25E070002)
- DOI：10.7500/AEPS20250609008
  CLC：
- Received：09 June 2025，
  
  Revised：2025-07-14，
  
  Online First：26 September 2025，
  
  Published：10 February 2026
- 稿件说明：
移动端阅览
潘力,唐早,刘俊勇等.基于聚合降维的多温控负荷集群配电网协同调度方法[J].电力系统自动化,2026,50(3):48-56.

PAN Li,TANG Zao,LIU Junyong,et al.Collaborative Dispatch Method for Distribution Network with Multiple Thermostatically-controlled Load Clusters Based on Aggregation Dimensionality-reduction[J].Automation of Electric Power Systems,2026,50(3):48-56.
潘力,唐早,刘俊勇等.基于聚合降维的多温控负荷集群配电网协同调度方法[J].电力系统自动化,2026,50(3):48-56. DOI： 10.7500/AEPS20250609008.

PAN Li,TANG Zao,LIU Junyong,et al.Collaborative Dispatch Method for Distribution Network with Multiple Thermostatically-controlled Load Clusters Based on Aggregation Dimensionality-reduction[J].Automation of Electric Power Systems,2026,50(3):48-56. DOI： 10.7500/AEPS20250609008.

摘要

温控负荷(TCL)集群与配电网的协同优化运行可提高经济性和灵活性，但现有的协同调度方法难以兼顾隐私保护和求解效率。为此，文中提出了基于聚合降维的多TCL集群配电网协同调度方法。首先，构建了含多TCL集群的配电网非迭代式调度框架；其次，提出了一种基于多胞体仿射变换内近似的TCL集群聚合降维建模方法，用于刻画TCL集群的聚合可行域及其聚合成本函数；然后，构建考虑多种开关动态重构与多TCL集群配电网协同优化调度模型，在保证集群信息隐私下实现所提配电网调度问题的高效求解；最后，在修改的75节点配电网上验证了所提方法的有效性。

Abstract

Collaborative optimal operation of thermostatically-controlled load (TCL) clusters and distribution networks can improve both economy and flexibility. However

existing collaborative dispatch methods struggle to simultaneously ensure privacy protection and solution efficiency. To address this problem

this paper proposes a collaborative dispatch method for a distribution network with multiple TCL clusters based on aggregation dimensionality-reduction. Firstly

a non-iterative dispatch framework for the distribution network incorporating multiple TCL clusters is constructed. Secondly

based on inner approximation via polytopic affine transformation

a aggregation dimensionality-reduction modeling method for TCL clusters is proposed to characterize the aggregate feasible region and the aggregate cost function of the TCL clusters. Then

a collaborative optimal dispatch model for the distribution network is established by considering various dynamic reconfigurations of switches and multiple TCL clusters

which enables efficient solution of the proposed dispatch problem of the distribution network while guaranteeing cluster information privacy. Finally

the effectiveness of the proposed method is verified on a modified 75-node distribution network.

关键词

Keywords

references

国家发展改革委，国家能源局，国家数据局 . 加快构建新型电力系统行动方案［EB/OL］.［ 2025-05-30 ］. https：//www.ndrc.gov.cn/xxgk/zcfb/tz/202408/t20240806_1392258.html https://www.ndrc.gov.cn/xxgk/zcfb/tz/202408/t20240806_1392258.html .

National Development and Reform Commission ， National Energy Administration ， National Data Administration . Speed up to build the new power system action plan ［EB/OL］.［ 2025-05-30 ］. https：//www.ndrc.gov.cn/xxgk/zcfb/tz/202408/t2024080 6_1392258. html https://www.ndrc.gov.cn/xxgk/zcfb/tz/202408/t20240806_1392258.html .

王思远，吴文传 . 灵活性资源聚合参考模型与量化指标体系［J］. 电力系统自动化， 2024 ， 48 （ 3 ）： 1 - 9 .

WANG Siyuan ， WU Wenchuan . Aggregation reference model and quantitative metric system of flexible energy resources ［J］. Automation of Electric Power Systems ， 2024 ， 48 （ 3 ）： 1 - 9 .

吴桐，惠红勋，张洪财 . 商业建筑空调系统参与城市电网负荷调控综述［J］. 中国电力， 2023 ， 56 （ 7 ）： 1 - 11 .

WU Tong ， HUI Hongxun ， ZHANG Hongcai . Review of commercial air conditioners for participating in urban grid regulation ［J］. Electric Power ， 2023 ， 56 （ 7 ）： 1 - 11 .

姜婷玉，李亚平，江叶峰，等 . 温控负荷提供电力系统辅助服务的关键技术综述［J］. 电力系统自动化， 2022 ， 46 （ 11 ）： 191 - 207 .

JIANG Tingyu ， LI Yaping ， JIANG Yefeng ， et al . Review on key technologies for providing auxiliary services to power system by thermostatically controlled loads ［J］. Automation of Electric Power Systems ， 2022 ， 46 （ 11 ）： 191 - 207 .

唐文虎，张银，钱瞳 . 考虑配电网络重构和楼宇群主动需求响应的集成楼宇群配电网优化控制［J］. 中国电机工程学报， 2023 ， 43 （ 8 ）： 2966 - 2979 .

TANG Wenhu ， ZHANG Yin ， QIAN Tong . Optimal control of buildings-to-distribution-network integration system considering reconfiguration of distribution network and active demand response of buildings ［J］. Proceedings of the CSEE ， 2023 ， 43 （ 8 ）： 2966 - 2979 .

ZHANG Y ， QIAN T ， TANG W H . Buildings-to-distribution-network integration considering power transformer loading capability and distribution network reconfiguration ［J］. Energy ， 2022 ， 244 ： 123104 .

LI Z N ， SU S ， JIN X L ， et al . Distributed energy management for active distribution network considering aggregated office buildings ［J］. Renewable Energy ， 2021 ， 180 ： 1073 - 1087 .

LI S D ， BAO G Q ， ZHANG A N . Consensus-based distributed coordinated operation of active distribution networks with electric heating loads ［J］. International Journal of Electrical Power & Energy Systems ， 2023 ， 153 ： 109393 .

TAN Z F ， YAN Z ， ZHONG H W ， et al . Non-iterative solution for coordinated optimal dispatch via equivalent projection： Part Ⅱ： method and applications ［J］. IEEE Transactions on Power Systems ， 2024 ， 39 （ 1 ）： 899 - 908 .

ZHANG T C ， WANG J X ， WANG H ， et al . On the coordination of transmission-distribution grids： a dynamic feasible region method ［J］. IEEE Transactions on Power Systems ， 2023 ， 38 （ 2 ）： 1857 - 1868 .

BAROT S ， TAYLOR J A . An outer approximation of the Minkowski sum of convex conic sets with application to demand response ［C］// 2016 IEEE 55th Conference on Decision and Control ， December 12-14 ， 2016 ， Las Vegas， USA ： 4233 - 4238 .

童宇轩，胡俊杰，杜昊明，等 . 基于虚拟电池模型的外逼近闵可夫斯基热泵负荷调节可行域聚合方法［J］. 电网技术， 2024 ， 48 （ 8 ）： 3340 - 3349 .

TONG Yuxuan ， HU Junjie ， DU Haoming ， et al . Feasible region aggregation method for load regulation of Minkowski heat pump based on external approximation of VB model ［J］. Power System Technology ， 2024 ， 48 （ 8 ）： 3340 - 3349 .

NAZIR M S ， HISKENS I A ， BERNSTEIN A ， et al . Inner approximation of minkowski sums： a union-based approach and applications to aggregated energy resources ［C］// 2018 IEEE Conference on Decision and Control ， December 17-19 ， 2018 ， Miami， USA ： 5708 - 5715 .

BAROT S . Aggregate load modeling for demand response via the Minkowski sum ［D］. Toronto， Canada ： University of Toronto ， 2017 .

ÖZTÜRK E ， RHEINBERGER K ， FAULWASSER T ， et al . Aggregation of demand-side flexibilities： a comparative study of approximation algorithms ［J］. Energies ， 2022 ， 15 （ 7 ）： 2501 .

YI Z K ， XU Y L ， GU W ， et al . Aggregate operation model for numerous small-capacity distributed energy resources considering uncertainty ［J］. IEEE Transactions on Smart Grid ， 2021 ， 12 （ 5 ）： 4208 - 4224 .

MÜLLER F L ， SZABÓ J ， SUNDSTRÖM O ， et al . Aggregation and disaggregation of energetic flexibility from distributed energy resources ［J］. IEEE Transactions on Smart Grid ， 2019 ， 10 （ 2 ）： 1205 - 1214 .

ZHAO L ， ZHANG W ， HAO H ， et al . A geometric approach to aggregate flexibility modeling of thermostatically controlled loads ［J］. IEEE Transactions on Power Systems ， 2017 ， 32 （ 6 ）： 4721 - 4731 .

ZHANG M Y ， XU Y L ， SHI X Y ， et al . A fast polytope-based approach for aggregating large-scale electric vehicles in the joint market under uncertainty ［J］. IEEE Transactions on Smart Grid ， 2024 ， 15 （ 1 ）： 701 - 713 .

AL TAHA F ， VINCENT T L ， BITAR E . An efficient method for quantifying the aggregate flexibility of plug-In electric vehicle populations ［J］. IEEE Transactions on Smart Grid ， 2024 ， 16 （ 4 ）： 3142 - 3154 .

SADRADDINI S ， TEDRAKE R . Linear encodings for polytope containment problems ［C］// 2019 IEEE 58th Conference on Decision and Control ， December 11-13 ， 2019 ， Nice， France ： 4367 - 4372 .

彭弘毅，晏鸣宇，周奕佳 . 基于降维投影的氢-电综合能源系统最优潮流［J］. 电力系统自动化， 2025 ， 49 （ 7 ）： 169 - 178 .

PENG Hongyi ， YAN Mingyu ， ZHOU Yijia . Optimal power flow of integrated hydrogen-electricity energy system based on reduced-dimension projection ［J］. Automation of Electric Power Systems ， 2025 ， 49 （ 7 ）： 169 - 178 .

SCHNEIDER R . Convex bodies： the Brunn-Minkowski theory ［M］. Cambridge， UK ： Cambridge University Press ， 2008 .

GAN L W ， LI N ， TOPCU U ， et al . Exact convex relaxation of optimal power flow in radial networks ［J］. IEEE Transactions on Automatic Control ， 2015 ， 60 （ 1 ）： 72 - 87 .

SUN S Y ， LI G F ， CHEN C ， et al . A novel formulation of radiality constraints for resilient reconfiguration of distribution systems ［J］. IEEE Transactions on Smart Grid ， 2023 ， 14 （ 2 ）： 1337 - 1340 .

王雯沁，高红均，王仁浚，等 . 考虑分布式电源支撑与农业设施协调的配电网分布鲁棒优化［J］. 电力系统自动化， 2023 ， 47 （ 21 ）： 89 - 98 .

WANG Wenqin ， GAO Hongjun ， WANG Renjun ， et al . Distributionally robust optimization of distribution network considering distributed generator support and agricultural facility coordination ［J］. Automation of Electric Power Systems ， 2023 ， 47 （ 21 ）： 89 - 98 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Day-ahead Interactive Operation Method for Distribution Network and 5G Base Stations Based on Inter-station Migration of Communication Load

High-dimensional Risk Assessment Method for Distribution Network Based on Dual-sparse Polynomial Chaos Expansion

Charging Load Forecasting Method for Electric Vehicles Considering Dynamic Reconfiguration of Distribution Networks

Adaptive Search Algorithm for Security Regions in Distribution Network Considering Uncertainties of Wind and Photovoltaic Output

Related Author

LIU Hong

WANG Zhijie

XU Zhengyang

YANG Baijie

LI Junkai

ZHANG Shida

LIU Hong

WANG Zhijie

Related Institution

Key Laboratory of the Ministry of Education on Smart Power Grids (Tianjin University)

Georgia Tech Shenzhen College, Tianjin University

Key Laboratory of Smart Grid, Ministry of Education, Tianjin University

Institute of Advanced Technology for Carbon Neutrality, Nanjing University of Posts and Telecommunications

State Grid Electric Power Research Institute (NARI Group Corporation)

⁰