The estimation of transmission line loadability Based on Artificial Intelligence Algorithm & Voltage Stability Index

Abstract

The continuous changes in electricity demand and supply are contributing to the disparity in quantities of power transferred between transmission networks, i.e. some lines are lightly loaded and others are overloaded. This presents a significant challenge to the secure and reliable operation of the power system. The current research is concerned with enhancing the loadability of electric transmission lines, that secure the increase in load demand through Flexible AC Transmission System (FACTS) injection. This paper is focused on the -Thyristor Controlled Series Compensator (TCSC), the optimum location of the TCSC was determined by applying two different techniques. The first technique was based on an artificial intelligence algorithm while the second technique was based on the level of voltage stability indices for all system lines. The optimal location is based on the fulfillment of multi-objective functions represented by an increase in the load capacity, reduce levels of the voltage stability index, the cost of installing the TCSC, and the voltage deviation. The IEEE-9 bus standard test system as a study case and MATLAB-programmes has been used for the analysis of the optimal power flow, and estimating the loadability of transmission lines without and with TCSC.