同济大学学报（自然科学版）2025，Vol.53Issue(3)：485-493,9.DOI:10.11908/j.issn.0253-374x.23151
基于价格—积分混合激励的车队充电聚合调度
A Hybrid Price-Point Incentive-Based Approach for Fleet Charging Aggregation Scheduling
摘要
Abstract
To alleviate the pressure on the power grid,a method is proposed for aggregating electric vehicles(EVs)in grid dispatch.The method establishes a framework for grid-charging aggregation,incorporating the power grid,charging aggregators,and EVs.It utilizes a hybrid incentive approach that combines dynamic integration of incentives and time-of-use pricing to motivate user engagement.Real-time evaluation of user participation intention is conducted using fuzzy reasoning.Subsequently,a multi-objective optimization model is developed and validated using operational data from vehicles.The results demonstrate the superiority of the proposed method over alternative approaches,as it enhances grid charging capacity,reduces average electricity costs,and addresses low-demand periods,while efficiently catering to various vehicle-station scale scenarios.关键词
电动汽车聚合调度方法/混合激励/模糊推理/多目标优化Key words
aggregated scheduling methods for electric vehicles(EVs)/hybrid incentives/fuzzy inference/multi-objective optimization分类
交通工程引用本文复制引用
王宁,吕叶林,田航奇..基于价格—积分混合激励的车队充电聚合调度[J].同济大学学报（自然科学版）,2025,53(3):485-493,9.基金项目
国网浙江省电力有限公司科技项目(2023FD02) （2023FD02）
