Detection of generated and measured transient power quality events using Teager Energy Operator

► A Teager Energy Operator algorithm is proposed to detect and analyze power quality events. ► In order to detect a disturbance, magnitudes of the signal are calculated using TEO algorithm. ► Proposed method has a simple and faster algorithm and it is robust in detecting PQ disturbances. ► We compar...

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Veröffentlicht in:Energy conversion and management Jg. 52; H. 4; S. 1959 - 1967
Hauptverfasser: Subasi, Abdulhamit, Yilmaz, A. Serdar, Tufan, Kadir
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier Ltd 01.04.2011
Elsevier
Schlagworte:
ISSN:0196-8904, 1879-2227
Online-Zugang:Volltext
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Zusammenfassung:► A Teager Energy Operator algorithm is proposed to detect and analyze power quality events. ► In order to detect a disturbance, magnitudes of the signal are calculated using TEO algorithm. ► Proposed method has a simple and faster algorithm and it is robust in detecting PQ disturbances. ► We compare the TEO with the methods used previously in PQ detection, these are not adequately faster. ► The proposed approach with a faster response time is more suitable for real time applications. In this paper, a novel algorithm, based on the Teager Energy Operator (TEO) of a sinusoidal waveform, proposed to detect and analyze the voltage disturbances. Most common power quality (PQ) disturbances at the distribution level such as voltage sags, notches, and capacitor switching are presented. These examples provide the basis for further characterization of other power quality events. Magnitudes of transient PQ events are located in the width of the signal. Furthermore, meaningful components of transients are analyzed. The whole method is implemented and tested over a sample representing recorded disturbances. Simulation and experimental results of different PQ disturbances show that the proposed method is fast and robust in detecting voltage disturbances and requires only a few samples to calculate the energy of a signal.
Bibliographie:ObjectType-Article-1
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ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2010.11.006