Optimal Placement of FACTS Devices in the Power System Using ANN to Increase the System Loadability

Abstract

Continuous monitoring of online voltage stability as well as increasing loadability of the existing electrical power system transmission lines are the most important issues for energy management systems in modern days. In this regard, the task of monitoring online voltage stability for various loading conditions is very much complex and time-consuming. This paper demonstrates an efficient voltage stability monitoring system using the computation of line voltage stability indices involving an artificial neural network (ANN) for reducing the complexity of an online voltage monitoring system that can provide warning information to the operator before voltage collapses. Comparative studies of system voltage stability and loadability at load point after placing the FACTS devices in the weakest lines of the power system are presented in this paper. In order to evaluate our proposed system how does it work; a series of experiments were conducted involving IEEE 14 bus power system network. The simulation result confirms that the proposed system can ensure power system operation security as well as reduce electrical power system installation cost by increasing system loadability.