Resilience Evaluation and Prediction in Electrical Distribution Systems: A Case Study in Golestan Province

In recent years, the issue of distribution network resilience has became very important due to the increase in natural disasters. In order to evaluate the distribution system resilience against extreme events, it is necessary to model the fragility of various distribution network components. The main objective of this paper is to extract the component fragility curve of Golestan province electricity distribution company through storm-related historical data. This data driven approach is more efficient than complex modeling methods, because storm-related failure is more comprehensively recorded in the distribution section. By using the available statistical data and curve fitting, a numerical model for use in simulations is obtained. Also, these curves help distribution system operators make appropriate decisions to improve the resilience of the distribution system.