中国电力2025，Vol.58Issue(3)：86-97,12.DOI:10.11930/j.issn.1004-9649.202402070
计及电动汽车和温控负荷集群的负荷控制用户组合优化方法
A Load Control User Combinatorial Optimization Method Considering Electric Vehicle and Temperature-Controlled Load Clusters
摘要
Abstract
As the construction of the new power system continues to deepen,the power system faces such problems as large peak-to-valley difference and high volatility,and the use of user-side resources to participate in load control is one of the important initiatives to solve the above-said problems.In this paper,a load control user combinatorial optimization method considering electric vehicle(EV)and temperature-controlled load clusters is proposed.Firstly,a hierarchical control method is used to aggregate individual EVs and temperature-controlled load clusters,and the aggregated clusters are divided into peak load shifting type and peak load shedding type according to their willingness to participate in load control types,and their respective user load control models are established.Secondly,a three-stage rebound load model is constructed to solve the load rebound problem after peak load shifting users participate in load control.And then,a load control influence function is established with consideration of the influence degree of users participating in load control.Finally,the composition of user groups participating in peak load shifting and shedding and the adjustment amount of user load are optimized with the minimum load control influence,minimum network loss and minimum load fluctuation as multi-objectives.While meeting the demand of load control,the proposed method can effectively inhibit the new peak load caused by the rebound of load after users participating in load control,as a result,realizing the good interaction of supply and demand between distributed load resources and the power system.关键词
分散式负荷资源/温控负荷集群/负荷反弹/负荷控制/组合优化Key words
distributed load resources/temperature control load cluster/load rebound/load control/combinatorial optimization引用本文复制引用
李思维,许中平,于龙,杜立石,岳靓,张喜润,王小明..计及电动汽车和温控负荷集群的负荷控制用户组合优化方法[J].中国电力,2025,58(3):86-97,12.基金项目
国家电网有限公司科技项目(面向多主体参与的负荷管理云关键技术及运行机制研究,5400-202320223A-1-1-ZN). This work is supported by Science and Technology Project of SGCC(Research on Key Technology and Operation Mechanism of Load Management Cloud for Multi-agent Participation,No.5400-202320223A-1-1-ZN). （面向多主体参与的负荷管理云关键技术及运行机制研究,5400-202320223A-1-1-ZN）
