Load Flow Analysis of IEEE 14 Bus System Using ANN Technique

Abstract

Load flow studies are introduced to acquire voltage, active and reactive power and load angle at every bus of power system to dissect its steady state conditions. Distinctive artificial neural network are produced for estimation of bus voltages and other obscure parameters of the system. A feed-forward back propagation network with sundry learning algorithms are created to acquire bus parameters. The proposed method is authenticated through a MATLAB simulation.