Matched filter design using dynamic histogram for power quality events detection

Abstract

This paper proposes the novel scheme of matched filter design for detection of power quality events in renewable integrated system. Matched filter gives better response on account of similarity with the signal, thus gives high SNR. Therefore, filters for power quality signals have been designed utilizing the information inherent in the power quality signal itself. In power quality signals, event-related information is hidden in the form of repetitive patterns in the signal. That repetitive information is extracted through the technique of dynamic histogram-based quantization for designing the filter matched with PQ disturbance signal. The stability of the newly designed matched filters has been analyzed using the frequency response of filters. The proposed scheme has been implemented for the detection of voltage sag, transient, and harmonics occurring in the renewable integrated system.