华中科技大学学报（自然科学版）2025，Vol.53Issue(1)：56-62,7.DOI:10.13245/j.hust.250666
电动汽车接入的综合能源系统鲁棒优化调度
Robust optimal scheduling of integrated energy system with the access of electric vehicles
摘要
Abstract
A multi-stage robust optimization scheduling model for community integrated energy systems with the access of electric vehicles was proposed.Firstly,considering the uncertainties of generations and demands,and the scenario probability distribution of the system operation,the model was constructed as a three-stage four-level robust optimization model.The distributionally robust optimization method was adopted in the probability distribution optimization stage.Secondly,the optimal models were constructed as Stackelberg game problems,and the game models were transformed into a single-layer optimization problem by utilizing the Karush-Kuhn-Tucker conditions.At last,an iterative algorithm was adopted to iteratively solve the multi-stage RO optimization model.The numerical results prove that the proposed RO model improves the economy and robustness of system.关键词
园区综合能源系统/电动汽车/多重不确定性/鲁棒优化/Stackelberg博弈Key words
community integrated energy system/electric vehicle/multiple uncertainties/robust optimization/Stackelberg game分类
信息技术与安全科学引用本文复制引用
杨志淳,谷博,操燕春,王丹..电动汽车接入的综合能源系统鲁棒优化调度[J].华中科技大学学报（自然科学版）,2025,53(1):56-62,7.基金项目
国网湖北黄冈供电公司2022年度高新区供电中心资助项目(52153222001H). （52153222001H）
