摘要
寒潮引发气温骤降,易导致电动汽车(electric vehicle, EV)续航降低和充电设施故障,无法满足EV用户的充电需求,影响充电网络韧性。针对该问题,文中提出一种基于智能导航的韧性提升方案。首先,分析寒潮对EV充电网络的影响以及寒潮中EV充电桩的故障机理与级联特性,对现有数据进行分析处理,建立寒潮的级联影响模型;其次,利用图强化学习方法训练智能导航模型并利用该模型将移动应急发电机(mobile emergency generator,MEG)导航至故障充电站进行功率补偿,从供电层面实现韧性提升;然后,利用导航模型为需要充电的EV推荐合适的充电站并进行路径规划,从充电层面实现韧性提升;最后,通过算例验证寒潮中充电桩故障的主要原因是基于级联效应的负荷占比增长。文中所提协同导航方法能够在供电层面保证充电站充电功率的稳定和故障状态下的快速恢复,在充电层面降低用户的充电前等待时间,满足用户的充电需求。
Temperature declines are induced by cold waves,leading to reduced electric vehicle(EV)range and triggering failures in charging infrastructure.As a result,charging demand cannot be met,and the resilience of the EV charging networks(EVCN)is compromised.To address this issue,a resilience enhancement scheme based on intelligent navigation is proposed.The impacts of cold waves on the EVCN are comprehensively analyzed.The failure mechanisms and cascading characteristics of charging stations under cold wave conditions are investigated,and historical data are processed to establish a cascading failure model.To enhance supply-side resilience,mobile emergency generators are navigated to faulty stations for power compensation using a navigation model trained via graph reinforcement learning.In parallel,the same model is utilized to recommend suitable charging stations and optimize routing for EVs in need of charging,thereby improving resilience from the demand side.Through case studies,cascading load increases are identified as the primary cause of failures during cold waves.The proposed collaborative navigation approach ensures stable power delivery and rapid recovery under fault conditions,while reducing waiting times and fulfilling users'charging demand.
作者
王晗
汤迪霏
旷嘉庆
张明潇
王鹏
WANG Han;TANG Difei;KUANG Jiaqing;ZHANG Mingxiao;WANG Peng(School of Electrical and Automation,Nanjing Normal University,Nanjing 210046,China)
出处
《电力工程技术》
北大核心
2025年第6期73-83,共11页
Electric Power Engineering Technology
基金
国家自然科学基金资助项目(52277105)。
关键词
电动汽车(EV)
充电网络
移动应急发电机(MEG)
图强化学习
智能导航
充电网络韧性
electric vehicle(EV)
charging network
mobile emergency generator(MEG)
graph reinforcement learning
intelligent navigation
resilience of charging network
