2007
DOI: 10.1109/tpwrd.2007.893185
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A New Method of Voltage Sag and Swell Detection

Abstract: The fundamental voltage, current, and phase angle are required for a wide variety of power system applications. An algorithm that is capable of calculating or estimating these quantities in real time, in the presence of distorted waveforms, finds application in diverse areas of power systems. Techniques to detect voltage sag include the root mean square (rms), Fourier transform, and peak voltage detection methods. The problem with these methods is that they use a windowing technique and can therefore be too sl… Show more

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Cited by 156 publications
(61 citation statements)
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“…Further contribution for quick detection of voltage sags and swells is based on extracting a single non-stationary sinusoidal signal out of a given multi-components input signal [7], [8] Radial basis function (RBF) neural network [11] and improved S-transform [12] have proposed for characterizing and identifying different sag types.…”
Section: Typical Values Of the Voltage Sags Are Between 10%mentioning
confidence: 99%
“…Further contribution for quick detection of voltage sags and swells is based on extracting a single non-stationary sinusoidal signal out of a given multi-components input signal [7], [8] Radial basis function (RBF) neural network [11] and improved S-transform [12] have proposed for characterizing and identifying different sag types.…”
Section: Typical Values Of the Voltage Sags Are Between 10%mentioning
confidence: 99%
“…In contrast, the software-based peak voltage detector has demonstrated growing hardware performance. Since the introduction of the RMS method in [12], similar peak detectors have been released for power systems [1], [2], [8], [10]. For example, the compensation devices of voltage sag requires a peak detector and must respond in less than a quarter of cycle, or as fast as possible, which is difficult to accomplish.…”
Section: Conventional Peak Detector With All-pass Filtermentioning
confidence: 99%
“…Most of conventional peak detector methods have time delays, including the RMS method (2-9 ms) [12], the hybrid KF-RMS method (0.5-4 ms) [2], and DVR (2 ms) [11]. Other methods report a delay of 1-4 ms [1], with the maximum delay being generated around 0° or 180° for all methods. The proposed fast peak detector decreases average detection delay within 0.5 ms in any phase; a three-to five-cycle sampling time is needed.…”
Section: Proposed Fast Peak Detectormentioning
confidence: 99%
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“…When a large inductive load starts, it usually consumes an inrush current that is approximately 5 to 10 times higher than its rated current and causes an instantaneous voltage sag in the power distributing board. Therefore, fast detection algorithms for voltage sags have been researched to protect power systems [1][2][3]. Moreover, this large inrush current and voltage sag may lead to a malfunction of electrical and electronic devices [4].…”
Section: Introductionmentioning
confidence: 99%