Probabilistic diagnosis of power system nodal voltages with ART2

Abstract

This paper proposes a new method for nodal voltage diagnosis in power systems using a self-organization artificial neural network. ART2 is utilized to classify power system conditions. A probability voltage security index is evaluated by the resulting classification. The proposed method is used for tracking the voltage profile continuously.<>