Resilience Assessment Using Simulation System of Distribution Network under Extreme Weather

Abstract

Due to increasing frequency of natural disasters in recent years, resilience assessment become critical to the safe operation of the power system. In this paper, we present a probabilistic assessment of power distribution system resilience under different types of weather such as typhoon, thunder and ice damage. It is based on Monte Carlo simulation. The main contribution of us is that we establish a compound dynamic failure rate model to describe different disaster characteristics and establish connections between different failure scenarios. This model is implemented to simulate in real time the performance changes of the distribution network under the extreme weather. Based on it, we propose a composite index for evaluating the resilience of the distribution network.