Voltage collapse prediction based on minimum singular value using Artificial Neural Network (ANN): article

This paper is about voltage collapse prediction based on minimum singular value using artificial neural network (ANN). The aim of the study is to predict the voltage collapse in a power system. The technical analysis methodology based on the use of Artificial Neural Network (ANN) which is characterized by fast computation and high ability to generalize. In this study, data were generated based on repetitive load flow studies taking Minimum Singular Value (MSV) as the indicator. The Minimum Singular Values must higher than unity that will indicate a stable system.