Resiliency Assessment and Enhancement of Renewable Dominated Edge of Grid Under High-Impact Low-Probability Events—A Review

This research presents a detailed review of high-impact low-probability (HILP) events, like wildfires, earthquakes, windstorms, and floods, which have the potential to cause major damage to power systems. These events are inevitable and hard to predict. Moreover, the uncertainties arising from distributed renewable energy resources can decrease the effectiveness of conventional techniques that aim to enhance the power grid reliability against extreme events. This paper aims to conduct a thorough and critical evaluation of existing practices in modelling extreme events, system components, and system responses, all aiming to improve resiliency. This review serves as a crucial basis for developing modelling techniques that are not only comprehensive and accurate but also computationally efficient. Initially, the paper examines existing technologies used to model the spread of extreme events. Subsequently, it explores various approaches utilized to model the impact of these extreme events on power system components and responses. Additionally, the research addresses the gaps and challenges associated with current modelling approaches and proposes potential solutions to overcome these limitations.