SYSTEM AND METHOD FOR PREDICTING FAILURE IN A POWER SYSTEM IN REAL-TIME

The present disclosure relates to a system (100) and a method (300) for predicting failure in a power system (102) in real-time. The method comprises obtaining, by a processing unit (204), state estimation data corresponding to electrical quantities of the power system (102) received from one or more sources in real-time, extracting a feature vector from the received state estimation data based on contingency analysis information using a trained machine learning model, wherein the feature vector corresponds to one or more parameters pertaining to the power system (102) in real-time, determining a security index for the received state estimation data based on the extracted feature vector using the trained machine learning model and, predicting a failure of the power system (102) based on the determined security index.