Malicious Mode Attack on EV Coordinated Charging Load and MIADRC Defense Strategy
Yichen Zhou, Weidong Liu, Jing Ma, Xinghao Zhen, Yonggang Li

TL;DR
This paper identifies a new cyberattack on EV charging systems that can cause power system instability and proposes a defense strategy using active disturbance rejection control to enhance stability.
Contribution
It introduces a novel malicious mode attack model on EV charging loads and develops a multi-index active disturbance rejection control strategy for mitigation.
Findings
MMA can induce high-amplitude oscillations threatening power stability.
The proposed defense improves system robustness against MMA.
Simulations confirm the effectiveness of the attack model and defense strategy.
Abstract
The Internet of Things (IoT) provides a salient communication environment to facilitate the coordinated charging of electric vehicle (EV) load. However, as IoT is connected with the public network, the coordinated charging system is in a low-level cyber security and greatly vulnerable to malicious attacks. This paper investigates the malicious mode attack (MMA), which is a new cyberattack pattern that simultaneously attacks massive EV charging piles to generate continuous sinusoidal power disturbance with the same frequency as the poorly-damped wide-area electromechanical mode. Thereby, high amplitude forced oscillations could be stimulated by MMA, which seriously threats the power system stability. First, the potential threat of MMA is clarified by investigating the vulnerability of the IoT-based coordinated charging load control system, and an MMA process like Mirai is pointed out as…
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Taxonomy
TopicsSmart Grid Security and Resilience · Electrical Fault Detection and Protection · Electrostatic Discharge in Electronics
