Artificial neural network application for prediction of reactive power compensation under line outage contingency

Abstract

Static VAR Compensator is a variable impedance device where the current through a reactor is controlled using back to back thyristor connected valves. In this paper a successful attempt has been made to design an ANN architecture which predicts the quantum of compensation to be provided to the system for a specific line outage contingency in order to improve the system performance. The study is carried out on an IEEE-30 bus system using MATLAB software.