综合智慧能源2025，Vol.47Issue(1)：70-78,9.DOI:10.3969/j.issn.2097-0706.2025.01.009
考虑电动汽车公平性的虚拟电厂优化运行策略
Optimal operation strategy of virtual power plants considering fairness for electric vehicles
摘要
Abstract
To address the issue of insufficient consideration of fairness in weak scheduling willingness and low response power of electric vehicles(EVs)in virtual power plant(VPP),an optimal scheduling strategy for VPP considering fairness of EVs was proposed.To effectively resolve the issue,a bi-level optimization model was established for the VPP and the EV clusters.The upper-level VPP model included wind power,photovoltaic(PV)power,gas turbines,energy storage,and user units.In the lower-level EV cluster model,an influence mechanism was introduced to account for the combined effect of incentive prices and EV prices on the users willingness to respond.Aiming to maximize the operating revenue of the VPP,the incentive prices for various EV users were generated based on the users'interval division to improve their participation in scheduling.In the lower-level optimization,each EV user decided whether to participate in the VPP's scheduling response and determined the response power based on the attractiveness of the incentive prices and their own economic considerations.The bi-level optimization problem was then solved based on the KKT conditions and the Big method.Simulations verified the effectiveness of the proposed strategy.关键词
虚拟电厂/电动汽车/公平性/EV价格区间划分/差异化激励价格Key words
virtual power plant/electric vehicles/fairness/EV price range classification/differential incentive pricing分类
能源科技引用本文复制引用
李明,胡楠,刘鑫蕊..考虑电动汽车公平性的虚拟电厂优化运行策略[J].综合智慧能源,2025,47(1):70-78,9.基金项目
国家自然科学基金项目(62173074) （62173074）
国家重点研发计划项目(2018YFA0702200) （2018YFA0702200）
国家自然科学基金重点项目(U20A20190,U22B20115,U23B20118)National Natural Science Foundation of China(62173074) （U20A20190,U22B20115,U23B20118）
National Key R&D Program of China(2018YFA0702200) （2018YFA0702200）
Key Project of National Natural Science Foundation of China(U20A20190,U22B20115,U23B20118) （U20A20190,U22B20115,U23B20118）
