A Novel DFIG Damping Control for Power System with High Wind Power Penetration

Aiming at the fact that large-scale penetration of wind power will to some extent weaken the small signal stability of power systems, in this paper, the dynamic model of a doubly fed induction generator (DFIG) is established firstly, to analyze the impact of wind generation on power oscillation damp...
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Autor*in:	Aiguo Tan [verfasserIn] Xiangning Lin [verfasserIn] Jinwen Sun [verfasserIn] Ran Lyu [verfasserIn] Zhengtian Li [verfasserIn] Long Peng [verfasserIn] Muhammad Shoaib Khalid [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	adaptive damping control doubly fed induction generator (DFIG) small signal stability power oscillation DFIG supplementary control

Übergeordnetes Werk:	In: Energies - MDPI AG, 2008, 9(2016), 7, p 521
Übergeordnetes Werk:	volume:9 ; year:2016 ; number:7, p 521

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/en9070521

Katalog-ID:	DOAJ032743726

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520			\|a Aiming at the fact that large-scale penetration of wind power will to some extent weaken the small signal stability of power systems, in this paper, the dynamic model of a doubly fed induction generator (DFIG) is established firstly, to analyze the impact of wind generation on power oscillation damping. Then, based on the conventional maximum power point tracking control of variable speed wind turbine, a supplementary control scheme is proposed to increase the damping of power system. To achieve best performance, parameters of the damping control are tuned by using a genetic algorithm. Results of eigenvalue analysis and simulations demonstrate the effectiveness of supplementary damping control with fixed wind speed. At last, due to the problem that fluctuation of output power of wind generators would cause the unstable performance of the DFIG damping controller above, a new algorithm that adapts to the wind variation is added to the supplementary damping control scheme. Results of the simulation show that an improved damping control scheme can stably enhance system damping under various wind speeds and has higher practical value.
650		4	\|a adaptive damping control
650		4	\|a doubly fed induction generator (DFIG)
650		4	\|a small signal stability
650		4	\|a power oscillation
650		4	\|a DFIG supplementary control
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allfields	10.3390/en9070521 doi (DE-627)DOAJ032743726 (DE-599)DOAJ3db028cb1822424ba5c8f808073f3a3b DE-627 ger DE-627 rakwb eng Aiguo Tan verfasserin aut A Novel DFIG Damping Control for Power System with High Wind Power Penetration 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aiming at the fact that large-scale penetration of wind power will to some extent weaken the small signal stability of power systems, in this paper, the dynamic model of a doubly fed induction generator (DFIG) is established firstly, to analyze the impact of wind generation on power oscillation damping. Then, based on the conventional maximum power point tracking control of variable speed wind turbine, a supplementary control scheme is proposed to increase the damping of power system. To achieve best performance, parameters of the damping control are tuned by using a genetic algorithm. Results of eigenvalue analysis and simulations demonstrate the effectiveness of supplementary damping control with fixed wind speed. At last, due to the problem that fluctuation of output power of wind generators would cause the unstable performance of the DFIG damping controller above, a new algorithm that adapts to the wind variation is added to the supplementary damping control scheme. Results of the simulation show that an improved damping control scheme can stably enhance system damping under various wind speeds and has higher practical value. adaptive damping control doubly fed induction generator (DFIG) small signal stability power oscillation DFIG supplementary control Technology T Xiangning Lin verfasserin aut Jinwen Sun verfasserin aut Ran Lyu verfasserin aut Zhengtian Li verfasserin aut Long Peng verfasserin aut Muhammad Shoaib Khalid verfasserin aut In Energies MDPI AG, 2008 9(2016), 7, p 521 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:9 year:2016 number:7, p 521 https://doi.org/10.3390/en9070521 kostenfrei https://doaj.org/article/3db028cb1822424ba5c8f808073f3a3b kostenfrei http://www.mdpi.com/1996-1073/9/7/521 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 9 2016 7, p 521
spelling	10.3390/en9070521 doi (DE-627)DOAJ032743726 (DE-599)DOAJ3db028cb1822424ba5c8f808073f3a3b DE-627 ger DE-627 rakwb eng Aiguo Tan verfasserin aut A Novel DFIG Damping Control for Power System with High Wind Power Penetration 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aiming at the fact that large-scale penetration of wind power will to some extent weaken the small signal stability of power systems, in this paper, the dynamic model of a doubly fed induction generator (DFIG) is established firstly, to analyze the impact of wind generation on power oscillation damping. Then, based on the conventional maximum power point tracking control of variable speed wind turbine, a supplementary control scheme is proposed to increase the damping of power system. To achieve best performance, parameters of the damping control are tuned by using a genetic algorithm. Results of eigenvalue analysis and simulations demonstrate the effectiveness of supplementary damping control with fixed wind speed. At last, due to the problem that fluctuation of output power of wind generators would cause the unstable performance of the DFIG damping controller above, a new algorithm that adapts to the wind variation is added to the supplementary damping control scheme. Results of the simulation show that an improved damping control scheme can stably enhance system damping under various wind speeds and has higher practical value. adaptive damping control doubly fed induction generator (DFIG) small signal stability power oscillation DFIG supplementary control Technology T Xiangning Lin verfasserin aut Jinwen Sun verfasserin aut Ran Lyu verfasserin aut Zhengtian Li verfasserin aut Long Peng verfasserin aut Muhammad Shoaib Khalid verfasserin aut In Energies MDPI AG, 2008 9(2016), 7, p 521 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:9 year:2016 number:7, p 521 https://doi.org/10.3390/en9070521 kostenfrei https://doaj.org/article/3db028cb1822424ba5c8f808073f3a3b kostenfrei http://www.mdpi.com/1996-1073/9/7/521 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 9 2016 7, p 521
allfields_unstemmed	10.3390/en9070521 doi (DE-627)DOAJ032743726 (DE-599)DOAJ3db028cb1822424ba5c8f808073f3a3b DE-627 ger DE-627 rakwb eng Aiguo Tan verfasserin aut A Novel DFIG Damping Control for Power System with High Wind Power Penetration 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aiming at the fact that large-scale penetration of wind power will to some extent weaken the small signal stability of power systems, in this paper, the dynamic model of a doubly fed induction generator (DFIG) is established firstly, to analyze the impact of wind generation on power oscillation damping. Then, based on the conventional maximum power point tracking control of variable speed wind turbine, a supplementary control scheme is proposed to increase the damping of power system. To achieve best performance, parameters of the damping control are tuned by using a genetic algorithm. Results of eigenvalue analysis and simulations demonstrate the effectiveness of supplementary damping control with fixed wind speed. At last, due to the problem that fluctuation of output power of wind generators would cause the unstable performance of the DFIG damping controller above, a new algorithm that adapts to the wind variation is added to the supplementary damping control scheme. Results of the simulation show that an improved damping control scheme can stably enhance system damping under various wind speeds and has higher practical value. adaptive damping control doubly fed induction generator (DFIG) small signal stability power oscillation DFIG supplementary control Technology T Xiangning Lin verfasserin aut Jinwen Sun verfasserin aut Ran Lyu verfasserin aut Zhengtian Li verfasserin aut Long Peng verfasserin aut Muhammad Shoaib Khalid verfasserin aut In Energies MDPI AG, 2008 9(2016), 7, p 521 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:9 year:2016 number:7, p 521 https://doi.org/10.3390/en9070521 kostenfrei https://doaj.org/article/3db028cb1822424ba5c8f808073f3a3b kostenfrei http://www.mdpi.com/1996-1073/9/7/521 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 9 2016 7, p 521
allfieldsGer	10.3390/en9070521 doi (DE-627)DOAJ032743726 (DE-599)DOAJ3db028cb1822424ba5c8f808073f3a3b DE-627 ger DE-627 rakwb eng Aiguo Tan verfasserin aut A Novel DFIG Damping Control for Power System with High Wind Power Penetration 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aiming at the fact that large-scale penetration of wind power will to some extent weaken the small signal stability of power systems, in this paper, the dynamic model of a doubly fed induction generator (DFIG) is established firstly, to analyze the impact of wind generation on power oscillation damping. Then, based on the conventional maximum power point tracking control of variable speed wind turbine, a supplementary control scheme is proposed to increase the damping of power system. To achieve best performance, parameters of the damping control are tuned by using a genetic algorithm. Results of eigenvalue analysis and simulations demonstrate the effectiveness of supplementary damping control with fixed wind speed. At last, due to the problem that fluctuation of output power of wind generators would cause the unstable performance of the DFIG damping controller above, a new algorithm that adapts to the wind variation is added to the supplementary damping control scheme. Results of the simulation show that an improved damping control scheme can stably enhance system damping under various wind speeds and has higher practical value. adaptive damping control doubly fed induction generator (DFIG) small signal stability power oscillation DFIG supplementary control Technology T Xiangning Lin verfasserin aut Jinwen Sun verfasserin aut Ran Lyu verfasserin aut Zhengtian Li verfasserin aut Long Peng verfasserin aut Muhammad Shoaib Khalid verfasserin aut In Energies MDPI AG, 2008 9(2016), 7, p 521 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:9 year:2016 number:7, p 521 https://doi.org/10.3390/en9070521 kostenfrei https://doaj.org/article/3db028cb1822424ba5c8f808073f3a3b kostenfrei http://www.mdpi.com/1996-1073/9/7/521 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 9 2016 7, p 521
allfieldsSound	10.3390/en9070521 doi (DE-627)DOAJ032743726 (DE-599)DOAJ3db028cb1822424ba5c8f808073f3a3b DE-627 ger DE-627 rakwb eng Aiguo Tan verfasserin aut A Novel DFIG Damping Control for Power System with High Wind Power Penetration 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aiming at the fact that large-scale penetration of wind power will to some extent weaken the small signal stability of power systems, in this paper, the dynamic model of a doubly fed induction generator (DFIG) is established firstly, to analyze the impact of wind generation on power oscillation damping. Then, based on the conventional maximum power point tracking control of variable speed wind turbine, a supplementary control scheme is proposed to increase the damping of power system. To achieve best performance, parameters of the damping control are tuned by using a genetic algorithm. Results of eigenvalue analysis and simulations demonstrate the effectiveness of supplementary damping control with fixed wind speed. At last, due to the problem that fluctuation of output power of wind generators would cause the unstable performance of the DFIG damping controller above, a new algorithm that adapts to the wind variation is added to the supplementary damping control scheme. Results of the simulation show that an improved damping control scheme can stably enhance system damping under various wind speeds and has higher practical value. adaptive damping control doubly fed induction generator (DFIG) small signal stability power oscillation DFIG supplementary control Technology T Xiangning Lin verfasserin aut Jinwen Sun verfasserin aut Ran Lyu verfasserin aut Zhengtian Li verfasserin aut Long Peng verfasserin aut Muhammad Shoaib Khalid verfasserin aut In Energies MDPI AG, 2008 9(2016), 7, p 521 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:9 year:2016 number:7, p 521 https://doi.org/10.3390/en9070521 kostenfrei https://doaj.org/article/3db028cb1822424ba5c8f808073f3a3b kostenfrei http://www.mdpi.com/1996-1073/9/7/521 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 9 2016 7, p 521
language	English
source	In Energies 9(2016), 7, p 521 volume:9 year:2016 number:7, p 521
sourceStr	In Energies 9(2016), 7, p 521 volume:9 year:2016 number:7, p 521
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	adaptive damping control doubly fed induction generator (DFIG) small signal stability power oscillation DFIG supplementary control Technology T
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container_title	Energies
authorswithroles_txt_mv	Aiguo Tan @@aut@@ Xiangning Lin @@aut@@ Jinwen Sun @@aut@@ Ran Lyu @@aut@@ Zhengtian Li @@aut@@ Long Peng @@aut@@ Muhammad Shoaib Khalid @@aut@@
publishDateDaySort_date	2016-01-01T00:00:00Z
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Then, based on the conventional maximum power point tracking control of variable speed wind turbine, a supplementary control scheme is proposed to increase the damping of power system. To achieve best performance, parameters of the damping control are tuned by using a genetic algorithm. Results of eigenvalue analysis and simulations demonstrate the effectiveness of supplementary damping control with fixed wind speed. At last, due to the problem that fluctuation of output power of wind generators would cause the unstable performance of the DFIG damping controller above, a new algorithm that adapts to the wind variation is added to the supplementary damping control scheme. 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author	Aiguo Tan
spellingShingle	Aiguo Tan misc adaptive damping control misc doubly fed induction generator (DFIG) misc small signal stability misc power oscillation misc DFIG supplementary control misc Technology misc T A Novel DFIG Damping Control for Power System with High Wind Power Penetration
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topic_title	A Novel DFIG Damping Control for Power System with High Wind Power Penetration adaptive damping control doubly fed induction generator (DFIG) small signal stability power oscillation DFIG supplementary control
topic	misc adaptive damping control misc doubly fed induction generator (DFIG) misc small signal stability misc power oscillation misc DFIG supplementary control misc Technology misc T
topic_unstemmed	misc adaptive damping control misc doubly fed induction generator (DFIG) misc small signal stability misc power oscillation misc DFIG supplementary control misc Technology misc T
topic_browse	misc adaptive damping control misc doubly fed induction generator (DFIG) misc small signal stability misc power oscillation misc DFIG supplementary control misc Technology misc T
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title	A Novel DFIG Damping Control for Power System with High Wind Power Penetration
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title_full	A Novel DFIG Damping Control for Power System with High Wind Power Penetration
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title_sort	novel dfig damping control for power system with high wind power penetration
title_auth	A Novel DFIG Damping Control for Power System with High Wind Power Penetration
abstract	Aiming at the fact that large-scale penetration of wind power will to some extent weaken the small signal stability of power systems, in this paper, the dynamic model of a doubly fed induction generator (DFIG) is established firstly, to analyze the impact of wind generation on power oscillation damping. Then, based on the conventional maximum power point tracking control of variable speed wind turbine, a supplementary control scheme is proposed to increase the damping of power system. To achieve best performance, parameters of the damping control are tuned by using a genetic algorithm. Results of eigenvalue analysis and simulations demonstrate the effectiveness of supplementary damping control with fixed wind speed. At last, due to the problem that fluctuation of output power of wind generators would cause the unstable performance of the DFIG damping controller above, a new algorithm that adapts to the wind variation is added to the supplementary damping control scheme. Results of the simulation show that an improved damping control scheme can stably enhance system damping under various wind speeds and has higher practical value.
abstractGer	Aiming at the fact that large-scale penetration of wind power will to some extent weaken the small signal stability of power systems, in this paper, the dynamic model of a doubly fed induction generator (DFIG) is established firstly, to analyze the impact of wind generation on power oscillation damping. Then, based on the conventional maximum power point tracking control of variable speed wind turbine, a supplementary control scheme is proposed to increase the damping of power system. To achieve best performance, parameters of the damping control are tuned by using a genetic algorithm. Results of eigenvalue analysis and simulations demonstrate the effectiveness of supplementary damping control with fixed wind speed. At last, due to the problem that fluctuation of output power of wind generators would cause the unstable performance of the DFIG damping controller above, a new algorithm that adapts to the wind variation is added to the supplementary damping control scheme. Results of the simulation show that an improved damping control scheme can stably enhance system damping under various wind speeds and has higher practical value.
abstract_unstemmed	Aiming at the fact that large-scale penetration of wind power will to some extent weaken the small signal stability of power systems, in this paper, the dynamic model of a doubly fed induction generator (DFIG) is established firstly, to analyze the impact of wind generation on power oscillation damping. Then, based on the conventional maximum power point tracking control of variable speed wind turbine, a supplementary control scheme is proposed to increase the damping of power system. To achieve best performance, parameters of the damping control are tuned by using a genetic algorithm. Results of eigenvalue analysis and simulations demonstrate the effectiveness of supplementary damping control with fixed wind speed. At last, due to the problem that fluctuation of output power of wind generators would cause the unstable performance of the DFIG damping controller above, a new algorithm that adapts to the wind variation is added to the supplementary damping control scheme. Results of the simulation show that an improved damping control scheme can stably enhance system damping under various wind speeds and has higher practical value.
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title_short	A Novel DFIG Damping Control for Power System with High Wind Power Penetration
url	https://doi.org/10.3390/en9070521 https://doaj.org/article/3db028cb1822424ba5c8f808073f3a3b http://www.mdpi.com/1996-1073/9/7/521 https://doaj.org/toc/1996-1073
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