A Probabilistic Approach to Assess Quantitative Resilience of Transmission Line During Cyclone

Power transmission system should be reliable and robust to meet the uninterrupted load demand. However, the performance of power system is affected when different system components are exposed to the extreme weather conditions. In this paper, quantitative assessment of component resilience is proposed by determining the transmission line failure under the natural disaster events like cyclone. Transmission line fragility curves are mapped with wind profile during cyclone to obtain the probability of failure of each transmission lines using Monte Carlo Simulation (MCS) method. Available Transmission Capacity (ATC) and Load Not Served (LNS) are calculated to assess the resiliency of the standard IEEE 30 bus system. The results are promising to understand the impact of such events for assessment of infrastructural and operational resiliency studies during the planning stage.