电气传动2026，Vol.56Issue(8)：70-78,9.DOI:10.19457/j.1001-2095.dqcd26979
考虑充电不确定性的EVs集群参与削峰服务控制策略研究
Research on Control Strategy for Electric Vehicle Clusters Participating in Peak-shaving Services Considering Charging Uncertainty
摘要
Abstract
In the"source-grid-load-storage"system with new energy integration,electric vehicles(EVs)clusters face challenges such as differences in users'charging behaviors and dynamic changes in system demands when participating in peak-shaving auxiliary services.An optimized charging strategy model was proposed integrated with state of charge(SOC)fuzzy control,while considering the degree of peak-shaving demand in different time periods.Taking the maximization of the total expected benefits of both load aggregators and EVs users as the objective,the optimization model was solved by combining genetic algorithm with CPLEX.Case studies show that the proposed SOC fuzzy charging control strategy can balance the charging and discharging willingness of EV users,reserve adjustable capacity for EVs to support peak-shaving services,and maximize the total expected benefits of load aggregators and EV users.This provides a more optimal solution for EV cluster peak-shaving services in the"source-grid-load-storage"system.关键词
电动汽车用户和负荷聚合商收益/SOC模糊控制/削峰辅助服务/充放电策略Key words
revenues of electric vehicles users and load aggregators/state of charge(SOC)fuzzy control/peak-shaving anxillary service/charging and discharging strategy分类
信息技术与安全科学引用本文复制引用
王斐,李元涛,孔建斌,马新声..考虑充电不确定性的EVs集群参与削峰服务控制策略研究[J].电气传动,2026,56(8):70-78,9.基金项目
国网宁夏电力有限公司科研项目"分布式光伏发电与电动汽车充电设施集成关键技术研究"(5229ZW240004) （5229ZW240004）
