Secure Integration of Electric Vehicles with the Power Grid

被引:1
|
作者
Niddodi, Chaitra [1 ]
Lin, Shanny [2 ]
Mohan, Sibin [1 ]
Zhu, Hao [2 ]
机构
[1] Univ Illinois, Champaign, IL 61820 USA
[2] Univ Texas Austin, Austin, TX 78712 USA
来源
2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CONTROL, AND COMPUTING TECHNOLOGIES FOR SMART GRIDS (SMARTGRIDCOMM) | 2019年
基金
美国国家科学基金会;
关键词
Cyber-Physical; Security; Intrusion Detection; Vehicle-to-Grid; Electric Vehicles; Anomaly Detection;
D O I
10.1109/smartgridcomm.2019.8909774
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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 seconds(1)). 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.
引用
收藏
页数:7
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