Automating the Process to Quantify Cyber-Physical Risk with Contingency Analysis and User Input

Abstract

Obtaining enough situational awareness is a critical task for power system security and reliability. With thousands of devices and various adversaries, it is hard to assess the impact of those devices under adversaries on power systems. The lack of enough situational awareness can lead the operators to misunderstand the system and make inappropriate decisions. Thus, this paper presents a framework to consider different types of contingencies for a comprehensive device-oriented risk assessment. The proposed framework considers three aspects, including the Steady State Contingency, Transient State Contingency, and Device Model Validation. Corresponding metrics have been utilized to evaluate the power system elements with respect to power system security. With the input information, the proposed framework streamlines and automates the process of quantifying the risk of different devices through different types of contingency analyses and metrics. In this way, operators can get comprehensive situational awareness to ensure the security of the system and avoid potential cascading failures. This paper uses the synthetic 200-bus case (ACTIVSg200) to illustrate the process of quantifying cyber-physical risk using the proposed framework.