Power Quality Analysis in an Industrial Electrical System by Probability Density Function

Abstract

This research aimed to analyze the Power Quality (PQ) in an Industrial Electrical System (IES) through event classification by applying the Probability Density Function (PDF). The aim is to obtain PQ indicators that enable an informative action (warning sign) for the protection devices associated through the classification of disturbances conducted by PDF. The methodology and results are based on the modeling and simulation of a real IES containing Three Phase Induction Motors (TPIM), using the DIgSILENT PowerFactory software. The modeling was performed to generate representative situations of IES operation featuring short duration voltage variations. The classification of the situations by the proposed methodology could be initially checked by observing this disturbance. Satisfactory results attest to the potential of the approach developed until now.