Accurate Methods for Signal Processing of Distorted Waveforms in Power Systems
A primary problem in waveform distortion assessment in power systems is to examine ways to reduce the effects of spectral leakage. In the framework of DFT approaches, line frequency synchronization techniques or algorithms to compensate for desynchronization are necessary; alternative approaches suc...
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2007-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/2007/92191 |
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doaj-1c943e120a764fbc971ce69391c642c02020-11-24T23:29:04ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-01200710.1155/2007/92191Accurate Methods for Signal Processing of Distorted Waveforms in Power SystemsA. TestaR. LangellaG. CarpinelliA. BracaleA primary problem in waveform distortion assessment in power systems is to examine ways to reduce the effects of spectral leakage. In the framework of DFT approaches, line frequency synchronization techniques or algorithms to compensate for desynchronization are necessary; alternative approaches such as those based on the Prony and ESPRIT methods are not sensitive to desynchronization, but they often require significant computational burden. In this paper, the signal processing aspects of the problem are considered; different proposals by the same authors regarding DFT-, Prony-, and ESPRIT-based advanced methods are reviewed and compared in terms of their accuracy and computational efforts. The results of several numerical experiments are reported and analysed; some of them are in accordance with IEC Standards, while others use more open scenarios. http://dx.doi.org/10.1155/2007/92191 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. Testa R. Langella G. Carpinelli A. Bracale |
spellingShingle |
A. Testa R. Langella G. Carpinelli A. Bracale Accurate Methods for Signal Processing of Distorted Waveforms in Power Systems EURASIP Journal on Advances in Signal Processing |
author_facet |
A. Testa R. Langella G. Carpinelli A. Bracale |
author_sort |
A. Testa |
title |
Accurate Methods for Signal Processing of Distorted Waveforms in Power Systems |
title_short |
Accurate Methods for Signal Processing of Distorted Waveforms in Power Systems |
title_full |
Accurate Methods for Signal Processing of Distorted Waveforms in Power Systems |
title_fullStr |
Accurate Methods for Signal Processing of Distorted Waveforms in Power Systems |
title_full_unstemmed |
Accurate Methods for Signal Processing of Distorted Waveforms in Power Systems |
title_sort |
accurate methods for signal processing of distorted waveforms in power systems |
publisher |
SpringerOpen |
series |
EURASIP Journal on Advances in Signal Processing |
issn |
1687-6172 1687-6180 |
publishDate |
2007-01-01 |
description |
A primary problem in waveform distortion assessment in power systems is to examine ways to reduce the effects of spectral leakage. In the framework of DFT approaches, line frequency synchronization techniques or algorithms to compensate for desynchronization are necessary; alternative approaches such as those based on the Prony and ESPRIT methods are not sensitive to desynchronization, but they often require significant computational burden. In this paper, the signal processing aspects of the problem are considered; different proposals by the same authors regarding DFT-, Prony-, and ESPRIT-based advanced methods are reviewed and compared in terms of their accuracy and computational efforts. The results of several numerical experiments are reported and analysed; some of them are in accordance with IEC Standards, while others use more open scenarios. |
url |
http://dx.doi.org/10.1155/2007/92191 |
work_keys_str_mv |
AT atesta accuratemethodsforsignalprocessingofdistortedwaveformsinpowersystems AT rlangella accuratemethodsforsignalprocessingofdistortedwaveformsinpowersystems AT gcarpinelli accuratemethodsforsignalprocessingofdistortedwaveformsinpowersystems AT abracale accuratemethodsforsignalprocessingofdistortedwaveformsinpowersystems |
_version_ |
1725546674160402432 |