Published April 2011 | Version v1
Journal article

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

  • 1. Department of Information Technologies, International Burch University, 71000 Sarajevo, Bosnia and Herzegovina (Bosnia and Herzegowina)
  • 2. Department of Electrical and Electronics Eng., Kahramanmaras Sutcu Imam University, 46100 Kahramanmaras (Turkey)
  • 3. Department of Computer Engineering, Fatih University, 34500 Bueyuekcekmece, Istanbul (Turkey)

Description

Research highlights: → 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. -- Abstract: 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2010.11.006

Additional details

Identifiers

DOI
10.1016/j.enconman.2010.11.006;
PII
S0196-8904(10)00506-6;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
52
Journal Issue
4
Journal Page Range
p. 1959-1967
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
42073841
Subject category
S24: POWER TRANSMISSION AND DISTRIBUTION;
Descriptors DEI
ALGORITHMS; CAPACITORS; COMPARATIVE EVALUATIONS; DISTURBANCES; ELECTRIC POTENTIAL; HAMILTONIANS; NOTCHES; POWER SYSTEMS; SIGNALS; SIMULATION; WAVE FORMS; WIDTH
Descriptors DEC
DIMENSIONS; ELECTRICAL EQUIPMENT; ENERGY SYSTEMS; EQUIPMENT; EVALUATION; MATHEMATICAL LOGIC; MATHEMATICAL OPERATORS; QUANTUM OPERATORS

Optional Information

Copyright
Copyright (c) 2010 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.