An approach to Contingency Severity Prediction using Data Analytic Techniques in a Power System

The effects of a single transmission line failure are discussed, along with how Big Data Analytics can be used to predict them. The LVSI is used to determine the relative severity of transmission line outages. An enormous amount of information will be generated throughout the sensitivity analysis. The machine learning method is used to assess the simulation data and make predictions about the severity ranking and the severity of the line. The necessary analysis is provided, based on the findings of the study done on the IEEE 30 Bus system. Examples of simulator software are MATLAB and Python.