Boosting the Power Grid Resilience to Extreme Weather Events Using Defensive Islanding

TLDR

Extreme weather events have highlighted the need to boost power grid resilience beyond traditional infrastructure measures. The study proposes a unified resilience evaluation and a risk‑based defensive islanding algorithm to mitigate cascading effects during severe weather. The authors assess grid resilience using fragility curves and a severity risk index to trigger a defensive islanding algorithm that partitions the network into self‑adequate islands, demonstrated on a simplified Great Britain transmission model.

Abstract

Several catastrophic experiences of extreme weather events show that boosting the power grid resilience is becoming increasingly critical. This paper discusses a unified resilience evaluation and operational enhancement approach, which includes a procedure for assessing the impact of severe weather on power systems and a novel risk-based defensive islanding algorithm. This adaptive islanding algorithm aims to mitigate the cascading effects that may occur during weather emergencies. This goes beyond the infrastructure-based measures that are traditionally used as a defense to severe weather. The resilience assessment procedure relies on the concept of fragility curves, which express the weather-dependent failure probabilities of the components. A severity risk index is used to determine the application of defensive islanding, which considers the current network topology and the branches that are at higher risk of tripping due to the weather event. This preventive measure boosts the system resilience by splitting the network into stable and self-adequate islands in order to isolate the components with higher failure probability, whose tripping would trigger cascading events. The proposed approach is illustrated using a simplified version of the Great Britain transmission network, with focus on assessing and improving its resilience to severe windstorms.