电动汽车与直流配电网协同的分布式自适应滚动预测调度  

Distributed Adaptive Rolling Predictive Scheduling Based on Coordination of Electric Vehicles and DC Distribution Networks

作　　者：梁栋[1,2,3] 邱馨洁 刘琪 王笑雪 王守相 LIANG Dong;QIU Xinjie;LIU Qi;WANG Xiaoxue;WANG Shouxiang(State Key Laboratory of Reliability and Intelligence of Electrical Equipment(Hebei University of Technology),Tianjin 300401,China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province(Hebei University of Technology),Tianjin 300401,China;Hebei Smart Electrical Distribution and Utilization Equipment Industry Technology Institute(Shijiazhuang Kelin Electric Corporation),Shijiazhuang 050222,China;College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China;Key Laboratory of Ministry of Education on Smart Power Grids(Tianjin University),Tianjin 300072,China)

机构地区：[1]省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学),天津市300401 [2]河北省电磁场与电器可靠性重点实验室(河北工业大学),天津市300401 [3]河北省智能配用电装备产业技术研究院(石家庄科林电气股份有限公司),河北省石家庄市050222 [4]山东科技大学电气与自动化工程学院,山东省青岛市266590 [5]智能电网教育部重点实验室(天津大学),天津市300072

出　　处：《电力系统自动化》2023年第24期90-99,共10页Automation of Electric Power Systems

基　　金：河北省自然科学基金资助项目(E2021202053);河北省省级科技计划资助项目(20311801D,21567605H)。

摘　　要：为充分挖掘电动汽车(EV)的灵活调度潜力,提出了EV与直流配电网协同的分布式自适应滚动预测调度方法。首先,建立了电压源型换流器、储能及直流配电网潮流的数学模型;然后,构建了不可调度、只充电和可充放电3类EV充电偏好的数学模型,并以日电能损耗和弃光电量的加权和最小为目标建立了直流配电网自适应滚动预测调度模型,通过实时EV集群的取车时间动态更新调度窗口,以满足每辆EV的期望电量需求;最后,建立了直流配电网分布式滚动预测调度模型,并采用交替方向乘子法实现分布式求解,以解决集中式调度通信量大的问题。仿真结果表明,通过对EV与直流配电网灵活性资源的协同调度可显著降低电能损耗、提升分布式电源接纳能力,同时,所采用的分布式算法具有良好的收敛性能和计算速度。In order to fully tap the flexible scheduling potential of electric vehicles (EVs), a distributed adaptive rolling predictive scheduling method based on the coordination of EVs and DC distribution networks is proposed. Firstly, the mathematical models of voltage source converter, energy storage and power flow of DC distribution networks are established. Then, the mathematical models of non-schedulable, charge-only and charge-discharge EV charging preferences are constructed, and the adaptive rolling predictive scheduling model of DC distribution networks is established with the goal of minimizing the weighted sum of daily energy loss and photovoltaic curtailment. The scheduling window is dynamically updated through the pick-up time of real-time EV clusters to meet the expected power demand of each EV. Finally, the distributed rolling predictive scheduling model of DC distribution networks is established, and the alternating direction method of multipliers is used to achieve distributed solution, so as to solve the problem of large communication traffic of centralized scheduling. The simulation results show that the cooperative scheduling of EV and DC distribution network flexibility resources can significantly reduce power loss and improve the acceptance capability of distributed power supply. At the same time, the distributed algorithm adopted has good convergence performance and computing speed.

关 键 词：直流配电网 电动汽车 电压源型换流器 滚动预测调度 自适应模型预测控制 交替方向乘子法 

分 类 号：U491.8[交通运输工程—交通运输规划与管理] TM721.1[交通运输工程—道路与铁道工程] TM73[电气工程—电力系统及自动化]