Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter

In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-...
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Autor*in:	Bo-kyu Kwon [verfasserIn] Soohee Han [verfasserIn] Kwang Y. Lee [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	robust harmonics estimation power system harmonics optimal FIR filter power conditioning system total harmonic distortions

Übergeordnetes Werk:	In: Energies - MDPI AG, 2008, 11(2018), 7, p 1811
Übergeordnetes Werk:	volume:11 ; year:2018 ; number:7, p 1811

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/en11071811

Katalog-ID:	DOAJ085317535

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520			\|a In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-angle of the harmonic components. Due to the FIR structure, the FIR filter is more robust against model uncertainty than the Kalman filter. Hence, the FIR filter-based method will give a more robust solution for the power system harmonic estimation than the previous Kalman filter-based approaches. The performance and robustness of the proposed method are verified through simulation. Moreover, the proposed method is employed in the power conditioning system to estimate the harmonic components and total harmonic distortions.
650		4	\|a robust harmonics estimation
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allfields	10.3390/en11071811 doi (DE-627)DOAJ085317535 (DE-599)DOAJ2fb63f7f8cf14ca59a496381b8e50a0f DE-627 ger DE-627 rakwb eng Bo-kyu Kwon verfasserin aut Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-angle of the harmonic components. Due to the FIR structure, the FIR filter is more robust against model uncertainty than the Kalman filter. Hence, the FIR filter-based method will give a more robust solution for the power system harmonic estimation than the previous Kalman filter-based approaches. The performance and robustness of the proposed method are verified through simulation. Moreover, the proposed method is employed in the power conditioning system to estimate the harmonic components and total harmonic distortions. robust harmonics estimation power system harmonics optimal FIR filter power conditioning system total harmonic distortions Technology T Soohee Han verfasserin aut Kwang Y. Lee verfasserin aut In Energies MDPI AG, 2008 11(2018), 7, p 1811 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:11 year:2018 number:7, p 1811 https://doi.org/10.3390/en11071811 kostenfrei https://doaj.org/article/2fb63f7f8cf14ca59a496381b8e50a0f kostenfrei http://www.mdpi.com/1996-1073/11/7/1811 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 7, p 1811
spelling	10.3390/en11071811 doi (DE-627)DOAJ085317535 (DE-599)DOAJ2fb63f7f8cf14ca59a496381b8e50a0f DE-627 ger DE-627 rakwb eng Bo-kyu Kwon verfasserin aut Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-angle of the harmonic components. Due to the FIR structure, the FIR filter is more robust against model uncertainty than the Kalman filter. Hence, the FIR filter-based method will give a more robust solution for the power system harmonic estimation than the previous Kalman filter-based approaches. The performance and robustness of the proposed method are verified through simulation. Moreover, the proposed method is employed in the power conditioning system to estimate the harmonic components and total harmonic distortions. robust harmonics estimation power system harmonics optimal FIR filter power conditioning system total harmonic distortions Technology T Soohee Han verfasserin aut Kwang Y. Lee verfasserin aut In Energies MDPI AG, 2008 11(2018), 7, p 1811 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:11 year:2018 number:7, p 1811 https://doi.org/10.3390/en11071811 kostenfrei https://doaj.org/article/2fb63f7f8cf14ca59a496381b8e50a0f kostenfrei http://www.mdpi.com/1996-1073/11/7/1811 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 7, p 1811
allfields_unstemmed	10.3390/en11071811 doi (DE-627)DOAJ085317535 (DE-599)DOAJ2fb63f7f8cf14ca59a496381b8e50a0f DE-627 ger DE-627 rakwb eng Bo-kyu Kwon verfasserin aut Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-angle of the harmonic components. Due to the FIR structure, the FIR filter is more robust against model uncertainty than the Kalman filter. Hence, the FIR filter-based method will give a more robust solution for the power system harmonic estimation than the previous Kalman filter-based approaches. The performance and robustness of the proposed method are verified through simulation. Moreover, the proposed method is employed in the power conditioning system to estimate the harmonic components and total harmonic distortions. robust harmonics estimation power system harmonics optimal FIR filter power conditioning system total harmonic distortions Technology T Soohee Han verfasserin aut Kwang Y. Lee verfasserin aut In Energies MDPI AG, 2008 11(2018), 7, p 1811 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:11 year:2018 number:7, p 1811 https://doi.org/10.3390/en11071811 kostenfrei https://doaj.org/article/2fb63f7f8cf14ca59a496381b8e50a0f kostenfrei http://www.mdpi.com/1996-1073/11/7/1811 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 7, p 1811
allfieldsGer	10.3390/en11071811 doi (DE-627)DOAJ085317535 (DE-599)DOAJ2fb63f7f8cf14ca59a496381b8e50a0f DE-627 ger DE-627 rakwb eng Bo-kyu Kwon verfasserin aut Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-angle of the harmonic components. Due to the FIR structure, the FIR filter is more robust against model uncertainty than the Kalman filter. Hence, the FIR filter-based method will give a more robust solution for the power system harmonic estimation than the previous Kalman filter-based approaches. The performance and robustness of the proposed method are verified through simulation. Moreover, the proposed method is employed in the power conditioning system to estimate the harmonic components and total harmonic distortions. robust harmonics estimation power system harmonics optimal FIR filter power conditioning system total harmonic distortions Technology T Soohee Han verfasserin aut Kwang Y. Lee verfasserin aut In Energies MDPI AG, 2008 11(2018), 7, p 1811 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:11 year:2018 number:7, p 1811 https://doi.org/10.3390/en11071811 kostenfrei https://doaj.org/article/2fb63f7f8cf14ca59a496381b8e50a0f kostenfrei http://www.mdpi.com/1996-1073/11/7/1811 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 7, p 1811
allfieldsSound	10.3390/en11071811 doi (DE-627)DOAJ085317535 (DE-599)DOAJ2fb63f7f8cf14ca59a496381b8e50a0f DE-627 ger DE-627 rakwb eng Bo-kyu Kwon verfasserin aut Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-angle of the harmonic components. Due to the FIR structure, the FIR filter is more robust against model uncertainty than the Kalman filter. Hence, the FIR filter-based method will give a more robust solution for the power system harmonic estimation than the previous Kalman filter-based approaches. The performance and robustness of the proposed method are verified through simulation. Moreover, the proposed method is employed in the power conditioning system to estimate the harmonic components and total harmonic distortions. robust harmonics estimation power system harmonics optimal FIR filter power conditioning system total harmonic distortions Technology T Soohee Han verfasserin aut Kwang Y. Lee verfasserin aut In Energies MDPI AG, 2008 11(2018), 7, p 1811 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:11 year:2018 number:7, p 1811 https://doi.org/10.3390/en11071811 kostenfrei https://doaj.org/article/2fb63f7f8cf14ca59a496381b8e50a0f kostenfrei http://www.mdpi.com/1996-1073/11/7/1811 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 7, p 1811
language	English
source	In Energies 11(2018), 7, p 1811 volume:11 year:2018 number:7, p 1811
sourceStr	In Energies 11(2018), 7, p 1811 volume:11 year:2018 number:7, p 1811
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	robust harmonics estimation power system harmonics optimal FIR filter power conditioning system total harmonic distortions Technology T
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authorswithroles_txt_mv	Bo-kyu Kwon @@aut@@ Soohee Han @@aut@@ Kwang Y. Lee @@aut@@
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author	Bo-kyu Kwon
spellingShingle	Bo-kyu Kwon misc robust harmonics estimation misc power system harmonics misc optimal FIR filter misc power conditioning system misc total harmonic distortions misc Technology misc T Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter
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topic_title	Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter robust harmonics estimation power system harmonics optimal FIR filter power conditioning system total harmonic distortions
topic	misc robust harmonics estimation misc power system harmonics misc optimal FIR filter misc power conditioning system misc total harmonic distortions misc Technology misc T
topic_unstemmed	misc robust harmonics estimation misc power system harmonics misc optimal FIR filter misc power conditioning system misc total harmonic distortions misc Technology misc T
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title	Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter
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title_full	Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter
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title_sort	robust estimation and tracking of power system harmonics using an optimal finite impulse response filter
title_auth	Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter
abstract	In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-angle of the harmonic components. Due to the FIR structure, the FIR filter is more robust against model uncertainty than the Kalman filter. Hence, the FIR filter-based method will give a more robust solution for the power system harmonic estimation than the previous Kalman filter-based approaches. The performance and robustness of the proposed method are verified through simulation. Moreover, the proposed method is employed in the power conditioning system to estimate the harmonic components and total harmonic distortions.
abstractGer	In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-angle of the harmonic components. Due to the FIR structure, the FIR filter is more robust against model uncertainty than the Kalman filter. Hence, the FIR filter-based method will give a more robust solution for the power system harmonic estimation than the previous Kalman filter-based approaches. The performance and robustness of the proposed method are verified through simulation. Moreover, the proposed method is employed in the power conditioning system to estimate the harmonic components and total harmonic distortions.
abstract_unstemmed	In this paper, a robust estimation method for estimating the power system harmonics is proposed by using the optimal finite impulse response (FIR) filter. The optimal FIR filter is applied to the state space representation of the noisy current or voltage signal and estimates the magnitude and phase-angle of the harmonic components. Due to the FIR structure, the FIR filter is more robust against model uncertainty than the Kalman filter. Hence, the FIR filter-based method will give a more robust solution for the power system harmonic estimation than the previous Kalman filter-based approaches. The performance and robustness of the proposed method are verified through simulation. Moreover, the proposed method is employed in the power conditioning system to estimate the harmonic components and total harmonic distortions.
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title_short	Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter
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Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter

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