电工技术学报2025，Vol.40Issue(14)：4446-4459,14.DOI:10.19595/j.cnki.1000-6753.tces.241696
计及电动汽车混合充电系统接入的综合能源系统鲁棒优化调度
Robust Optimal Scheduling of Integrated Energy System Considering Electric Vehicle Hybrid Charging System
摘要
Abstract
With the access of electric vehicles to the integrated energy system(IES),especially the vigorous development of wireless charging technology for electric vehicles in recent years,the spatiotemporal coupling between IES and wireless charging electric vehicles(WCEV)has become increasingly strong.This feature makes it challenging to optimize the scheduling of IES and WCEV and achieve a win-win situation between the two.Therefore,introducing the wireless charging system into the integrated energy system and forming a hybrid charging system with traditional wired charging electric vehicles is essential for improving the overall economic benefits of the system. This paper takes the joint operation system composed of an integrated energy system and a hybrid charging system as the research object.The objective function considering the uncertainty of both is established.Considering the conflict of interests between superiors and subordinates,a master-slave game model is established to connect the wireless charging technology of electric vehicles to the joint operation system.A two-stage robust optimization method under multiple uncertainty scenarios of EV and IES is proposed,and a column and constraint generation algorithm ensures the optimization model of the joint operation system converges fast when solving complex multi-layer problems.As a result,the proposed scheduling method can maximize the operating benefits of the integrated energy system and minimize the operating cost of the hybrid charging system in the worst scenario. This paper establishes the objective function of the upper-level integrated energy system to maximize its benefits and the objective function of the lower-level hybrid charging system to minimize the hybrid system's operating cost.The simulation results show that the proposed method can converge in the third time,and the convergence accuracy is within 0.06％. Therefore,on the integrated energy system side,this paper adopts the integrated energy system uncertainty strategy proposed by two-level robustness.After robust optimization,it can effectively solve the uncertainty of wind and solar output and thermal power load,maximizing the system operation benefit.On the hybrid charging system side,this paper adopts the hybrid charging system uncertainty strategy proposed by distributed robustness.After robust optimization,the absolute value deviation between the empirical distribution and the worst distribution of wireless charging electric vehicles and wired charging electric vehicles is kept in the interval[0,0.01],effectively reducing the operating cost of the hybrid charging system.关键词
综合能源系统/混合充电系统/无线充电/主从博弈/鲁棒优化Key words
Integrated energy system/hybrid charging system/wireless charging/master-slave game/robust optimization分类
信息技术与安全科学引用本文复制引用
张献,丁可浩,赵黎媛,杨庆新..计及电动汽车混合充电系统接入的综合能源系统鲁棒优化调度[J].电工技术学报,2025,40(14):4446-4459,14.基金项目
国家自然科学基金项目(52122701)、天津市自然科学基金项目(23JCQNJC01060)、中央引导地方科技发展基金项目(236Z5201G)、天津市自然科学基金重点项目(22JCZDJC00620)、天津市教委科研计划项目(2022KJ088)和河北省产学研合作专项项目(CXY2024010)和河北省自然科学基金项目(F2024202005)资助. （52122701）
