JSE_V9_N2_RP2 Manjula S. Sureban Shekhappa Ankaliki Journal on Software Engineering 2230 – 7168 9 2 9 16 State Estimation, Neural Networks, Back Propagation Algorithm Increased interconnection of the power system along with deregulated structure to satisfy growing demand has brought new challenges for power system state estimation. The estimation of power system state [1,3] in such interconnected system has become complex due to complexity in modelling and uncertainties. This makes ANN a ideal candidate for state estimation, since it can accurately map the relationship between the measured variable and other state variables of the power system with reduced computational resources as compared to weighted least square approach[2]. Using only load bus parameters for various operating conditions with an ANN other states of the power system can be accurately estimated. This paper discusses an approach to estimate the state of power system using ANN in MATLAB. October - December 2014 Copyright © 2014 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=3323