电力系统自动化2026，Vol.50Issue(3)：48-56,9.DOI:10.7500/AEPS20250609008
基于聚合降维的多温控负荷集群配电网协同调度方法
Collaborative Dispatch Method for Distribution Network with Multiple Thermostatically-controlled Load Clusters Based on Aggregation Dimensionality-reduction
摘要
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
配电网/温控负荷/集群/可行域/聚合降维/协同调度Key words
distribution network/thermostatically-controlled load/cluster/feasible region/aggregation dimensionality-reduction/collaborative dispatch引用本文复制引用
潘力,唐早,刘俊勇,刘友波,黄振宇..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):48-56,9.基金项目
国家自然科学基金资助项目(U2066209) （U2066209）
浙江省自然科学基金资助项目(LMS25E070002). This work is supported by National Natural Science Foundation of China(No.U2066029)and Zhejiang provincial Natural Science Foundation of China(No.LMS25E070002). （LMS25E070002）
