Efficient Resilience Assessment Framework for Electric Power Systems Affected by Hurricane Events

Abstract

Ensuring electric power system resilience against natural and anthropogenic hazards is vital for public health, economy, security, and well-being across modern societies. This paper presents a resilience assessment framework that focuses on computationally efficient algorithms for quantifying the response of electric power systems to hurricane events, while demonstrating its applicability to large real systems by spanning hazards, structural and system responses, and restoration processes. The study models the transmission system responses as a Bayesian network to represent probabilistic dependencies in an intuitive and tractable manner. It propagates hurricane-induced failures throughout the system to service customers while efficiently considering the physics and constraints of power flow. The framework computes customer outages in distributed