中国电机工程学报2026，Vol.46Issue(8)：3157-3170,中插8,15.DOI:10.13334/j.0258-8013.pcsee.242958
计及用户出行信息不确定性的电动汽车可行域重构聚合与鲁棒决策方法
Reconstructive Aggregation and Robust Decision-making Method for Electric Vehicle Feasible Regions Considering Uncertainties in User Travel Information
摘要
Abstract
The effective quantification and aggregation of the flexibility feasible domain for large-scale electric vehicles is a prerequisite for electric vehicle aggregators to participate in market bidding.However,the uncertainty of user travel information leads to a strong random characteristic in the adjustable capacity boundaries of aggregated electric vehicles,affecting the effectiveness of the aggregator's day-ahead bidding strategy.To address the randomness of user behavior and the uncertainty of frequency regulation prices,this paper proposes a method for reconstructing the feasible domain of electric vehicles and robust decision-making that accounts for the uncertainty of user travel information.First,we develop an inner approximation Minkowski reconstruction aggregation model that balances approximation accuracy and computational efficiency,incorporating uncertainties related to disconnection time and initial battery levels to characterize the robust boundary of the aggregation feasible domain.Second,we establish an ellipsoidal uncertainty set for frequency regulation prices and formulate a two-stage three-layer robust optimization model aimed at maximizing the aggregator's net revenue when participating in the joint market,and solve it using an improved column-and-constraint generation(C&CG)algorithm based on the extreme scenario method.Finally,through comparative analysis of numerical examples,we demonstrate the effectiveness and practicality of the proposed reconstruction aggregation method.The robust optimization model significantly mitigates the risks posed by real-world uncertainties,balancing revenue and risk,and guiding aggregators in formulating more reliable bidding strategies.关键词
电动汽车/内逼近闵可夫斯基聚合/多重不确定性/鲁棒边界/能量-调频市场Key words
electric vehicles/inner approximation Minkowski aggregation/multiple uncertainties/robust boundary/energy and frequency regulation markets分类
信息技术与安全科学引用本文复制引用
胡俊杰,马旭睿,吴俊..计及用户出行信息不确定性的电动汽车可行域重构聚合与鲁棒决策方法[J].中国电机工程学报,2026,46(8):3157-3170,中插8,15.基金项目
国家自然科学基金项目(52177080).Project Supported by National Natural Science Foundation of China(52177080). （52177080）
