电力系统自动化2024，Vol.48Issue(7)：103-115,13.DOI:10.7500/AEPS20230627012
面向多场景辅助服务的大规模电动汽车聚合可调度容量建模
Aggregated and Schedulable Capacity Modeling of Large-scale Electric Vehicles for Multi-scenario Auxiliary Services
摘要
Abstract
The aggregation schedulable capacity(ASC)of large-scale electric vehicles(EVs)is one of the important technical indicators for virtual power plant containing EVs to participate in multi-level and multi-scenario power balance auxiliary services.However,the existing ASC model of EVs is difficult to adapt to the interactive scenario between large-scale EVs and provincial power dispatching center.Therefore,from the new perspective of multi-level and multi-scenario regulation for peak-shaving,frequency regutalion,and voltage regulation of power systems,this paper proposes a dual-layer clustering modeling method for ASC of EVs based on data-driven and machine learning.By constructing the individual schedulable capacity model of generalized EV-charging pile energy storage unit,this method combines the density space-based clustering algorithm and the improved self-organizing map deep clustering algorithm,which effectively integrates the time distribution of electric quantity of EVs and the spatial distribution characteristics of charging piles,and constructs the ASC model for multi-scenario regulation of peak shaving,frequency regulation and voltage regulation.The proposed method is verified by actual charging records in a province of China,and various charging profiles such as"morning type","noon type"and"evening type"are obtained.The self-aggregation of generalized energy storage system with different spatial and temporal distributions of EVs is realized,and the potential evaluation of provincial-level EVs participating in different auxiliary services of power grid is realized.The data foundation is laid for the prediction of ASC.关键词
电动汽车/辅助服务/数据驱动/广义储能系统/电动汽车与电网互动/可调度容量/聚合模型/双层聚类Key words
electric vehicle/auxiliary service/data-driven/generalized energy storage system/vehicle to grid(V2G)/schedulable capacity/aggregation model/two-level clustering引用本文复制引用
王杨洋,茆美琴,杨铖,周堃,杜燕,Nikos D. HATZIARGYRIOU..面向多场景辅助服务的大规模电动汽车聚合可调度容量建模[J].电力系统自动化,2024,48(7):103-115,13.基金项目
安徽省自然科学基金资助项目(2108085UD02) （2108085UD02）
国家自然科学基金资助项目(51577047) （51577047）
高等学校学科创新引智计划("111"计划)资助项目(BP0719039). This work is supported by Anhui Provincial Natural Science Foundation(No.2108085UD02),National Natural Science Foundation of China(No.51577047)and Program of Introducing Talents of Discipline to Universities("111"Program)(No.BP0719039). （"111"计划）
