Electric Vehicle Attack Impact on Power Grid Operation

TL;DR

This paper analyzes the vulnerabilities of the electric vehicle ecosystem to cyber-attacks, demonstrating how EV charging loads can destabilize power grids and proposing solutions for detection and mitigation.

Contribution

It provides a comprehensive examination of EV ecosystem vulnerabilities, attack simulations on power grids, and introduces detection methods and mitigation patches.

Findings

EV loads can significantly impact grid stability.

A 30 MW EV attack can destabilize the grid.

Traditional loads are less disruptive than EV loads.

Abstract

The increasing need for reducing greenhouse gas emissions and the drive for green cities have promoted the use of electric vehicles due to their environmental benefits. In fact, countries have set their own targets and are offering incentives for people to purchase EVs as opposed to traditional gasoline-powered cars. Manufacturers have been hastily deploying charging stations to meet the charging requirements of the EVs on the road. This rapid deployment has contributed to the EV ecosystem's lack of proper security measures, raising multiple questions related to the power grid security and vulnerability. In this paper, we offer a complete examination of the EV ecosystem from the vulnerability to the attacks and finally the solutions. We start by examining the existing vulnerabilities in the EV ecosystem that can be exploited to control the EV charging and launch attacks against the power grid. We then discuss the non-linear nature of the EV charging load and simulate multiple attacks that can be launched against the power grid using these EVs. EV loads have high reactive power demand which can have a larger impact on the grid compared to residential loads. We perform simulations on two power grids and demonstrate that while the grid can recover after a 48 MW attack utilizing traditional residential loads, a smaller 30 MW EV load attack can completely destabilize the system. Finally, we suggest several patches for the existing vulnerabilities and discuss two methods aimed at detecting EV attacks.