网络攻击对电动汽车充电协调的影响:以单点故障为例

Erdem Gumrukcu, Alizadeh Arsalan, G. Muriithi, Charukeshi Joglekar, Ahmed Aboulebdeh, M. Alparslan Zehir, B. Papari, A. Monti
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引用次数: 10

摘要

电动汽车(ev)的广泛采用和充电站的广泛部署推动了配电网基础设施的极限,并增加了有效充电协调的重要性。具有多种功能的智能电动汽车充电器和充电协调解决方案正变得越来越普遍,这些解决方案可以管理数百辆电动汽车的充电过程,在网络攻击的情况下引发重大操作问题的风险越来越大。充电协调器、配电网运营商和用户之间的信息交换在大量充电时段的调度中至关重要,这些时段依赖于客户的偏好,而不违反运营电网的约束。用于计费会话预订的用户移动应用程序和dso计费协调器接口都容易受到网络攻击,这可能导致相当大的技术和经济后果。一个重要的问题是,当单个节点或通信链路被破坏时,攻击的潜在影响。研究了单点故障情况下,虚假数据注入和劫持攻击对电动汽车充电协调的影响。通过模拟24小时12个充电器、34个真实充电时段以及基于每个时段的延迟容忍度的电动汽车充电协调方法,研究了劫持用户移动应用和对dso -充电协调器接口的FDI攻击。该研究强调,如果电动汽车充电协调出现单点故障,可能会产生相当大的负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Cyber-attacks on EV Charging Coordination: The Case of Single Point of Failure
Expanding adoption of electric vehicles (EVs) and broad deployment of charging stations push the limits of distribution grid infrastructure and increase the importance of effective charging coordination. Smart EV chargers with several functionalities and charging coordination solutions that can manage the charging sessions of hundreds of EVs are becoming common, with the increasing risk of triggering significant operational problems in case of cyberattacks. The information exchange between the charging coordinator, distribution network operator, and users is essential in the scheduling of a large number of charging sessions, relying on customer preferences, without violating operational grid constraints. Both the user mobile apps used for charging session reservations and DSO-charging coordinator interfaces are vulnerable to cyberattacks which may cause considerable technical and economic consequences. An important concern is the potential impacts of attacks when a single node or communication link is compromised. This study investigates the impacts of false data injection (FDI) and hijacking attacks on EV charging coordination in case of a single point of failure. Hijacking of one user’s mobile app and FDI attack on the DSO-charging coordinator interface are investigated by simulating a 24-hour scenario with 12 chargers, 34 realistic charging sessions, and an EV charging coordination approach based on each session’s tolerance to delays. The study highlighted considerable negative impacts that could be encountered in case of a single point of failure in EV charging coordination.
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