Risk Assessment of Power System under Extreme Typhoon Events

Abstract

Typhoon is an extreme weather condition that can be devastating to power grids, and its enormous destructive effect often leads to line breakdowns and failures. It is important to study the probability of grid system failure in extreme weather to effectively prevent typhoon-induced line failures. In order to describe the relationship between typhoons and transmission network resilience, the classical Rankine model is used to describe typhoon wind speeds, taking into account the impact of different wind speeds in different zones along the typhoon path. An exponential function type of line fault rate model based on typhoon wind speed is proposed. In this paper, the non-sequential Monte Carlo simulation method and the Latin hypercube sampling method are used to simulate and calculate the load shedding of the system as a risk assessment index. The calculations are carried out using Matlab and Matpower for the IEEE24-bus power system in three cases at different wind speeds. The results show that the amount of load shedding of is directly related to typhoon wind speed. Through simulation, the vulnerable lines and buses can be found and be reinforced precisely, therefore reduce the load loss caused by extreme typhoon weather. In this paper, a typhoon wind speed model based on rankie model and a calculation method for transmission line fault rate to simulate the effects of extreme weather using non-Monte Carlo sequences are proposed. The correctness of the algorithm is verified by IEEE-24 bus system.