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

doi:10.19595/j.cnki.1000-6753.tces.241696

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摘要随着电动汽车接入综合能源系统（IES）,尤其是近年来电动汽车无线充电技术的大力发展,使得IES和无线充电电动汽车（WCEV）的时空耦合性越来越强。该特点使优化调度IES与WCEV以及实现两者之间互利双赢面临挑战,因此,将无线充电系统引入综合能源系统,并与传统有线充电电动汽车共同组成混合充电系统,对于提高系统整体经济效益具有重要作用。该文提出一种考虑IES与混合充电系统不确定性的运行策略,该策略基于主从博弈模型,首先,以IES为主导者,采用两阶段鲁棒优化方法解决风、光出力及热、电负荷的不确定性问题;其次,以混合充电系统为跟随者,采用分布式鲁棒优化方法解决有线、无线电动汽车分布的不确定性问题;最后,提出列与约束生成算法迭代求解,在第3次达到收敛,且优化间隙控制在0.06%以内,并通过算例分析,验证了所提优化调度方案的有效性。

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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

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.

Key words： Integrated energy system hybrid charging system wireless charging master-slave game robust optimization

收稿日期: 2024-09-27

PACS:	TM724
	TM73

基金资助: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

通讯作者: 赵黎媛女,1992年生,博士,硕士生导师,主要研究方向为多能互补综合能源优化管控，人工智能方法应用研究。E-mail:yuanerzhao@hebut.edu.cn

作者简介: 张献男,1983年生,博士,教授,无线电能传输技术专业委员会副主任委员兼秘书长，主要研究方向为无线电能传输技术、工程电磁场与磁技术。E-mail:zhangxian@tjpu.edu.cn

引用本文:

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. Zhang Xian, Ding Kehao, Zhao Liyuan, Yang Qingxin. Robust Optimal Scheduling of Integrated Energy System Considering Electric Vehicle Hybrid Charging System. Transactions of China Electrotechnical Society, 2025, 40(14): 4446-4459.

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