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Journal ArticleDOI

A direction finder for power quality disturbances based upon disturbance power and energy

A.C. Parsons, +3 more
- 01 Jul 2000 - 
- Vol. 15, Iss: 3, pp 1081-1086
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TLDR
In this paper, the authors used sampled voltage and current waveforms to determine on which side of a recording device a disturbance originates by examining the energy flow and peak instantaneous power for both capacitor energizing and voltage sag disturbances.
Abstract
While existing techniques are capable of automatically identifying and classifying various types of distribution-level power quality disturbances, they do not provide any information about the locations of the disturbance sources. This paper shows that it is possible to use sampled voltage and current waveforms to determine on which side of a recording device a disturbance originates. This is accomplished by examining the energy flow and peak instantaneous power for both capacitor energizing and voltage sag disturbances. The authors demonstrate the technique by testing it on both ATP-generated waveforms and actual field disturbance data. In both cases, they are able to accurately determine on which side of a recording device the disturbance originates. If enough recording devices are available in a network, the individual readings can be collectively used to pinpoint the locations of disturbance sources.

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Citations
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Journal ArticleDOI

Fault Location in Distribution Systems Based on Smart Feeder Meters

TL;DR: In this paper, a fault-location method based on smart feeder meters with voltage sag monitoring capability is proposed, where the main idea is to explore voltage measurements from monitors placed in different buses of distribution systems to estimate the fault location.
Journal ArticleDOI

A resistance sign-based method for voltage sag source detection

TL;DR: In this paper, a method to determine the origin of voltage sag disturbance is proposed, which can be easily implemented into power quality meters for troubleshooting applications or into digital revenue meters to document the responsibility for disturbances.
Journal ArticleDOI

Method for voltage-sag-source detection by investigating slope of the system trajectory

TL;DR: In this article, the voltage-sag-source direction was determined by examining the sign of the slope of a line fitting two parameters during the disturbance, and a least-squares method was used to perform the line fitting.
Journal ArticleDOI

Applying distance relay for voltage sag source detection

TL;DR: In this article, the authors proposed the application of distance relay information for a voltage sag source detection problem and found that the magnitude and angle of impedance before and after the sag event clearly indicate on which side of the power-quality (PQ) monitor, the sag source lies.
Journal ArticleDOI

A new approach to locate the voltage sag source using real current component

TL;DR: A new method to locate the source of voltage sag in a power distribution system using the polarity of the real current component to determine the sag location relative to the monitoring point is proposed.
References
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Book

Computer Relaying for Power Systems

TL;DR: In this paper, the authors present a comprehensive, up-to-date account of computer relaying in power systems, based in part on the author's extensive experience in the field.
Journal ArticleDOI

Power quality disturbance waveform recognition using wavelet-based neural classifier. I. Theoretical foundation

TL;DR: This paper's proposed recognition scheme is carried out in the wavelet domain using a set of multiple neural networks and is capable of providing a degree of belief for the identified disturbance waveform.
Journal ArticleDOI

Power quality disturbance waveform recognition using wavelet-based neural classifier. II. Application

TL;DR: A wavelet-based neural classifier is constructed and thoroughly tested under various conditions and is able to provide a degree of belief for the identified waveform and is equipped with an acceptance threshold so that it can reject ambiguous disturbance waveforms.
Journal ArticleDOI

The classification of power system disturbance waveforms using a neural network approach

TL;DR: In this paper, an artificial neural network methodology for the classification of waveforms that are captured, as part of a larger scheme to automate the data collection process of recorders, is presented.
Proceedings Article

The classification of power system disturbance waveforms using a neural network approach

A.K. Ghosh, +1 more
TL;DR: In this article, an artificial neural network methodology for the classification of waveforms that are captured, as part of a larger scheme to automate the data collection process of recorders, is presented.
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