Secure Integration of Electric Vehicles with the Power Grid
Secure Integration of Electric Vehicles with the Power Grid
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DOI：
10.1109/smartgridcomm.2019.8909774
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Chaitra Niddodi;Shanny Lin;Sibin Mohan;Hao Zhu
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文献类型：
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作者：
Chaitra Niddodi;Shanny Lin;Sibin Mohan;Hao Zhu
本文重点关注分布式能源（DER），特别是可插拔电动汽车（EV）与电网的安全集成。我们考虑车辆到电网（V2 G）系统，其中电动汽车通过“聚合器”连接到电网。在本文中，我们提出了一种新型的网络物理异常检测引擎，可以监控系统行为并几乎即时检测异常（最坏情况下，数据包的检测时间为0.165秒1）。该检测引擎确保关键电网组件（即，聚合器）通过使用来自物理/配电网络上的传感器的功率测量来监视（a）针对各种状态变化和数据约束沿着的网络消息以及（B）V2 G网络上的功率数据来保持安全。由于V2 G系统是时间敏感的，异常检测引擎还监视协议消息的定时要求，以增强聚合器的安全性。据我们所知，这是第一项结合（a）EV充电/放电协议、（B）网络和（c）物理网络的功率测量以检测EV到电网系统中的入侵的工作。1 V2 G网络上的最小延迟为2秒
This paper focuses on the secure integration of distributed energy resources (DERs), especially pluggable electric vehicles (EVs), with the power grid. We consider the vehicle-to-grid (V2G) system where EVs are connected to the power grid through an ‘aggregator’ In this paper, we propose a novel Cyber-Physical Anomaly Detection Engine that monitors system behavior and detects anomalies almost instantaneously (worst case inspection time for a packet is 0.165 seconds1). This detection engine ensures that the critical power grid component (viz., aggregator) remains secure by monitoring (a) cyber messages for various state changes and data constraints along with (b) power data on the V2G cyber network using power measurements from sensors on the physical/power distribution network. Since the V2G system is time-sensitive, the anomaly detection engine also monitors the timing requirements of the protocol messages to enhance the safety of the aggregator. To the best of our knowledge, this is the first piece of work that combines (a) the EV charging/discharging protocols, the (b) cyber network and (c) power measurements from physical network to detect intrusions in the EV to power grid system.1Minimum latency on V2G network is 2 seconds