Automatic power quality disturbance measurement in distribution systems

Abstract

An automatic power quality disturbance measurement system has been proposed in this paper. The probabilistic entropy is calculated for the most frequently occurring short duration disturbances in distribution system which is based on Shannon's entropy. The variation of probabilistic entropy with respect to the deviation in the magnitude and duration of the disturbed signal is presented in the form of bar chart and graphs. The automatic recognition is achieved using an artificial neural network, (ANN) in conjunction with fuzzy based decision logic. A new type of power quality (PQ) factor, Equivalent Disturbance Factor (EDF) has been proposed in this paper. Then ANN has been implemented to predict the Equivalent Disturbance Factor.