电力建设2025，Vol.46Issue(11)：24-34,11.DOI:10.12204/j.issn.1000-7229.2025.11.003
考虑削峰服务的电动汽车集群最优充放电策略
Optimal Charging and Discharging Strategies for Electric Vehicle Clusters Considering Power Peak Shaving
摘要
Abstract
[Objective]In a source-grid-load-storage system incorporating renewable energy,an electric vehicle(EV)cluster charging and discharging strategy optimization model is established to optimize the revenues of EV users and load aggregators participating in peak-shaving ancillary services,considering the peak-shaving demand levels across different time periods.[Methods]First,the peak-shaving demand for each time period under renewable energy production scenarios was assessed.Second,based on the level of the peak-shaving demand in each time period,an optimization model for the charging and discharging strategy of the EV cluster was developed to maximize the total expected revenue for both load aggregators and EV users.Finally,to prevent peak load occurrences after participating in peak-shaving services,the charging and discharging strategy for subsequent time periods were optimized to minimize load fluctuations.[Results]The case analysis demonstrated that the proposed charging and discharging strategy assisted in smoothing the electricity load during peak periods,maximized the total expected revenue for load aggregators and EV users,and mitigated the occurrence of load peaks after participating in peak-shaving services.[Conclusions]The strategy proposed in this study significantly improved the benefits for EV users and load aggregators compared with the strategy without considering participation in the peak-shaving service,and the load fluctuations in the subsequent period of peak shaving were significantly reduced that verified the practicality and effectiveness of the proposed method.关键词
源网荷储一体化系统/电动汽车用户/负荷聚合商/削峰辅助服务/电动汽车集群充放电策略优化/负荷尖峰Key words
source-grid-load-storage system/electric vehicle(EV)users/load aggregators/peak-shaving ancillary services/EV cluster charging and discharging strategy optimization/load peaks分类
动力与电气工程引用本文复制引用
赵林昕,李成鑫,桂江一,刘林..考虑削峰服务的电动汽车集群最优充放电策略[J].电力建设,2025,46(11):24-34,11.基金项目
This work is supported by the Natural Science Foundation of Sichuan Province(No.2022NSFSC0206).四川省自然科学基金项目(2022NSFSC0206) （No.2022NSFSC0206）
