On signal processing approach for event detection and compression applied to power quality evaluation

This paper outlines a new technique for disturbance event detection applied to signal compression for quality evaluation. The proposal called modified EDCM is based on previous estimation of the fundamental and harmonic components of the disturbance signal using adaptive notch filter and FIR filter approaches. Both techniques outperform the accuracy and computational burden attained by using Kalman's filter and adaptive notch filter applied to EDCM approach. Besides, the proposal presents simple and suitable techniques to evaluate harmonic content and detect the presence of disturbance phenomena. As will be pointed out, only the information of the fundamental component along with the RMS value or harmonic content of the error signal are enough to provide an accurate disturbance detection. Finally, the modified EDCM proposal provides an improved way to monitor power line since it performs an accurate disturbance detection, harmonic content evaluation and fundamental and harmonics estimation attaining low computational burden.

I. Introduction

The ongoing modernization of industries and commercial centers has presupposed the use of new charges, typically of electronic nature, which usually affect the power quality delivery by the generation and distribution companies, Furthermore, these new charges are normally very sensitive to voltage and current imperfections [1].