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The Internet of Things (IoT) provides a salient communication environment tofacilitate the coordinated charging of electric vehicle (EV) load. However, asIoT is connected with the public network, the coordinated charging system is ina low-level cyber security and greatly vulnerable to malicious attacks. Thispaper investigates the malicious mode attack (MMA), which is a new cyberattackpattern that simultaneously attacks massive EV charging piles to generatecontinuous sinusoidal power disturbance with the same frequency as thepoorly-damped wide-area electromechanical mode. Thereby, high amplitude forcedoscillations could be stimulated by MMA, which seriously threats the powersystem stability. First, the potential threat of MMA is clarified byinvestigating the vulnerability of the IoT-based coordinated charging loadcontrol system, and an MMA process like Mirai is pointed out as an example. Andthen, based on the attack process, an MMA model is established for impactanalysis where expressions of the mean and stochastic responses of the MMAforced oscillation are derived to discover main impact factors. Further, tomitigate the impact of MMA, a defense strategy based on multi-index informationactive disturbance rejection control is proposed to improve the stability andanti-disturbance ability of the power system, which considers the impactfactors of both mode damping and disturbance compensation. Simulations areconducted to verify the existence and characteristics of MMA threats, and theefficiency of the proposed defense strategy is also validated.

Malicious Mode Attack on EV Coordinated Charging Load and MIADRC Defense Strategy