Artificial neural network based voltage stability analysis in power system

Abstract

Voltage stability analysis plays a vital role in determining the stability state of the power system. In this paper Global Voltage Stability Index is used in estimating with Artificial Neural Network for voltage stability assessment. A multi-layer error Cascade Feed-forward Back Propagation Neural Network and Radial Basis Function neural Network with back propagation learning algorithm is implemented with Global Voltage Stability Index. This methodology of testing with the proposed index indicates the authority in determining the voltage collapse point in the power system network and location for reactive power compensating device. The IEEE 14 bus system is tested and the simulation results are presented in this paper.