Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm

Abstract This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system...
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Autor*in:	Nour A. Mohamed [verfasserIn] Hany M. Hasanien [verfasserIn] Essam A. Al‐Ammar [verfasserIn] Marcos Tostado‐Véliz [verfasserIn] Rania A. Turky [verfasserIn] Francisco Jurado [verfasserIn] Ahmed O. Badr [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	gorilla tropical optimization algorithm (GTO) permanent magnet synchronous generator (PMSG) variable speed wind turbine (VSWT) wind farms

Übergeordnetes Werk:	In: IET Generation, Transmission & Distribution - Wiley, 2021, 17(2023), 10, Seite 2388-2400
Übergeordnetes Werk:	volume:17 ; year:2023 ; number:10 ; pages:2388-2400

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1049/gtd2.12814

Katalog-ID:	DOAJ090605632

Internformat


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520			\|a Abstract This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine‐tune the proportional‐integral (PI) controller gains for VSC‐based PMSG‐VSWT and VSC‐based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. MATLAB/Simulink is used to implement the control mechanism.
650		4	\|a gorilla tropical optimization algorithm (GTO)
650		4	\|a permanent magnet synchronous generator (PMSG)
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650		4	\|a wind farms
653		0	\|a Distribution or transmission of electric power
653		0	\|a Production of electric energy or power. Powerplants. Central stations
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700	0		\|a Essam A. Al‐Ammar \|e verfasserin \|4 aut
700	0		\|a Marcos Tostado‐Véliz \|e verfasserin \|4 aut
700	0		\|a Rania A. Turky \|e verfasserin \|4 aut
700	0		\|a Francisco Jurado \|e verfasserin \|4 aut
700	0		\|a Ahmed O. Badr \|e verfasserin \|4 aut
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allfields	10.1049/gtd2.12814 doi (DE-627)DOAJ090605632 (DE-599)DOAJ7cd70359180b459a971af022c5c3d023 DE-627 ger DE-627 rakwb eng TK3001-3521 TK1001-1841 Nour A. Mohamed verfasserin aut Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine‐tune the proportional‐integral (PI) controller gains for VSC‐based PMSG‐VSWT and VSC‐based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. MATLAB/Simulink is used to implement the control mechanism. gorilla tropical optimization algorithm (GTO) permanent magnet synchronous generator (PMSG) variable speed wind turbine (VSWT) wind farms Distribution or transmission of electric power Production of electric energy or power. Powerplants. Central stations Hany M. Hasanien verfasserin aut Essam A. Al‐Ammar verfasserin aut Marcos Tostado‐Véliz verfasserin aut Rania A. Turky verfasserin aut Francisco Jurado verfasserin aut Ahmed O. Badr verfasserin aut In IET Generation, Transmission & Distribution Wiley, 2021 17(2023), 10, Seite 2388-2400 (DE-627)521691990 (DE-600)2264294-8 17518695 nnns volume:17 year:2023 number:10 pages:2388-2400 https://doi.org/10.1049/gtd2.12814 kostenfrei https://doaj.org/article/7cd70359180b459a971af022c5c3d023 kostenfrei https://doi.org/10.1049/gtd2.12814 kostenfrei https://doaj.org/toc/1751-8687 Journal toc kostenfrei https://doaj.org/toc/1751-8695 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 17 2023 10 2388-2400
spelling	10.1049/gtd2.12814 doi (DE-627)DOAJ090605632 (DE-599)DOAJ7cd70359180b459a971af022c5c3d023 DE-627 ger DE-627 rakwb eng TK3001-3521 TK1001-1841 Nour A. Mohamed verfasserin aut Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine‐tune the proportional‐integral (PI) controller gains for VSC‐based PMSG‐VSWT and VSC‐based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. MATLAB/Simulink is used to implement the control mechanism. gorilla tropical optimization algorithm (GTO) permanent magnet synchronous generator (PMSG) variable speed wind turbine (VSWT) wind farms Distribution or transmission of electric power Production of electric energy or power. Powerplants. Central stations Hany M. Hasanien verfasserin aut Essam A. Al‐Ammar verfasserin aut Marcos Tostado‐Véliz verfasserin aut Rania A. Turky verfasserin aut Francisco Jurado verfasserin aut Ahmed O. Badr verfasserin aut In IET Generation, Transmission & Distribution Wiley, 2021 17(2023), 10, Seite 2388-2400 (DE-627)521691990 (DE-600)2264294-8 17518695 nnns volume:17 year:2023 number:10 pages:2388-2400 https://doi.org/10.1049/gtd2.12814 kostenfrei https://doaj.org/article/7cd70359180b459a971af022c5c3d023 kostenfrei https://doi.org/10.1049/gtd2.12814 kostenfrei https://doaj.org/toc/1751-8687 Journal toc kostenfrei https://doaj.org/toc/1751-8695 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 17 2023 10 2388-2400
allfields_unstemmed	10.1049/gtd2.12814 doi (DE-627)DOAJ090605632 (DE-599)DOAJ7cd70359180b459a971af022c5c3d023 DE-627 ger DE-627 rakwb eng TK3001-3521 TK1001-1841 Nour A. Mohamed verfasserin aut Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine‐tune the proportional‐integral (PI) controller gains for VSC‐based PMSG‐VSWT and VSC‐based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. MATLAB/Simulink is used to implement the control mechanism. gorilla tropical optimization algorithm (GTO) permanent magnet synchronous generator (PMSG) variable speed wind turbine (VSWT) wind farms Distribution or transmission of electric power Production of electric energy or power. Powerplants. Central stations Hany M. Hasanien verfasserin aut Essam A. Al‐Ammar verfasserin aut Marcos Tostado‐Véliz verfasserin aut Rania A. Turky verfasserin aut Francisco Jurado verfasserin aut Ahmed O. Badr verfasserin aut In IET Generation, Transmission & Distribution Wiley, 2021 17(2023), 10, Seite 2388-2400 (DE-627)521691990 (DE-600)2264294-8 17518695 nnns volume:17 year:2023 number:10 pages:2388-2400 https://doi.org/10.1049/gtd2.12814 kostenfrei https://doaj.org/article/7cd70359180b459a971af022c5c3d023 kostenfrei https://doi.org/10.1049/gtd2.12814 kostenfrei https://doaj.org/toc/1751-8687 Journal toc kostenfrei https://doaj.org/toc/1751-8695 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 17 2023 10 2388-2400
allfieldsGer	10.1049/gtd2.12814 doi (DE-627)DOAJ090605632 (DE-599)DOAJ7cd70359180b459a971af022c5c3d023 DE-627 ger DE-627 rakwb eng TK3001-3521 TK1001-1841 Nour A. Mohamed verfasserin aut Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine‐tune the proportional‐integral (PI) controller gains for VSC‐based PMSG‐VSWT and VSC‐based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. MATLAB/Simulink is used to implement the control mechanism. gorilla tropical optimization algorithm (GTO) permanent magnet synchronous generator (PMSG) variable speed wind turbine (VSWT) wind farms Distribution or transmission of electric power Production of electric energy or power. Powerplants. Central stations Hany M. Hasanien verfasserin aut Essam A. Al‐Ammar verfasserin aut Marcos Tostado‐Véliz verfasserin aut Rania A. Turky verfasserin aut Francisco Jurado verfasserin aut Ahmed O. Badr verfasserin aut In IET Generation, Transmission & Distribution Wiley, 2021 17(2023), 10, Seite 2388-2400 (DE-627)521691990 (DE-600)2264294-8 17518695 nnns volume:17 year:2023 number:10 pages:2388-2400 https://doi.org/10.1049/gtd2.12814 kostenfrei https://doaj.org/article/7cd70359180b459a971af022c5c3d023 kostenfrei https://doi.org/10.1049/gtd2.12814 kostenfrei https://doaj.org/toc/1751-8687 Journal toc kostenfrei https://doaj.org/toc/1751-8695 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 17 2023 10 2388-2400
allfieldsSound	10.1049/gtd2.12814 doi (DE-627)DOAJ090605632 (DE-599)DOAJ7cd70359180b459a971af022c5c3d023 DE-627 ger DE-627 rakwb eng TK3001-3521 TK1001-1841 Nour A. Mohamed verfasserin aut Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine‐tune the proportional‐integral (PI) controller gains for VSC‐based PMSG‐VSWT and VSC‐based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. MATLAB/Simulink is used to implement the control mechanism. gorilla tropical optimization algorithm (GTO) permanent magnet synchronous generator (PMSG) variable speed wind turbine (VSWT) wind farms Distribution or transmission of electric power Production of electric energy or power. Powerplants. Central stations Hany M. Hasanien verfasserin aut Essam A. Al‐Ammar verfasserin aut Marcos Tostado‐Véliz verfasserin aut Rania A. Turky verfasserin aut Francisco Jurado verfasserin aut Ahmed O. Badr verfasserin aut In IET Generation, Transmission & Distribution Wiley, 2021 17(2023), 10, Seite 2388-2400 (DE-627)521691990 (DE-600)2264294-8 17518695 nnns volume:17 year:2023 number:10 pages:2388-2400 https://doi.org/10.1049/gtd2.12814 kostenfrei https://doaj.org/article/7cd70359180b459a971af022c5c3d023 kostenfrei https://doi.org/10.1049/gtd2.12814 kostenfrei https://doaj.org/toc/1751-8687 Journal toc kostenfrei https://doaj.org/toc/1751-8695 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 17 2023 10 2388-2400
language	English
source	In IET Generation, Transmission & Distribution 17(2023), 10, Seite 2388-2400 volume:17 year:2023 number:10 pages:2388-2400
sourceStr	In IET Generation, Transmission & Distribution 17(2023), 10, Seite 2388-2400 volume:17 year:2023 number:10 pages:2388-2400
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	gorilla tropical optimization algorithm (GTO) permanent magnet synchronous generator (PMSG) variable speed wind turbine (VSWT) wind farms Distribution or transmission of electric power Production of electric energy or power. Powerplants. Central stations
isfreeaccess_bool	true
container_title	IET Generation, Transmission & Distribution
authorswithroles_txt_mv	Nour A. Mohamed @@aut@@ Hany M. Hasanien @@aut@@ Essam A. Al‐Ammar @@aut@@ Marcos Tostado‐Véliz @@aut@@ Rania A. Turky @@aut@@ Francisco Jurado @@aut@@ Ahmed O. Badr @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	521691990
id	DOAJ090605632
language_de	englisch
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Mohamed</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine‐tune the proportional‐integral (PI) controller gains for VSC‐based PMSG‐VSWT and VSC‐based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. 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callnumber-first	T - Technology
author	Nour A. Mohamed
spellingShingle	Nour A. Mohamed misc TK3001-3521 misc TK1001-1841 misc gorilla tropical optimization algorithm (GTO) misc permanent magnet synchronous generator (PMSG) misc variable speed wind turbine (VSWT) misc wind farms misc Distribution or transmission of electric power misc Production of electric energy or power. Powerplants. Central stations Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm
authorStr	Nour A. Mohamed
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topic_title	TK3001-3521 TK1001-1841 Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm gorilla tropical optimization algorithm (GTO) permanent magnet synchronous generator (PMSG) variable speed wind turbine (VSWT) wind farms
topic	misc TK3001-3521 misc TK1001-1841 misc gorilla tropical optimization algorithm (GTO) misc permanent magnet synchronous generator (PMSG) misc variable speed wind turbine (VSWT) misc wind farms misc Distribution or transmission of electric power misc Production of electric energy or power. Powerplants. Central stations
topic_unstemmed	misc TK3001-3521 misc TK1001-1841 misc gorilla tropical optimization algorithm (GTO) misc permanent magnet synchronous generator (PMSG) misc variable speed wind turbine (VSWT) misc wind farms misc Distribution or transmission of electric power misc Production of electric energy or power. Powerplants. Central stations
topic_browse	misc TK3001-3521 misc TK1001-1841 misc gorilla tropical optimization algorithm (GTO) misc permanent magnet synchronous generator (PMSG) misc variable speed wind turbine (VSWT) misc wind farms misc Distribution or transmission of electric power misc Production of electric energy or power. Powerplants. Central stations
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
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title	Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm
ctrlnum	(DE-627)DOAJ090605632 (DE-599)DOAJ7cd70359180b459a971af022c5c3d023
title_full	Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm
author_sort	Nour A. Mohamed
journal	IET Generation, Transmission & Distribution
journalStr	IET Generation, Transmission & Distribution
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author_browse	Nour A. Mohamed Hany M. Hasanien Essam A. Al‐Ammar Marcos Tostado‐Véliz Rania A. Turky Francisco Jurado Ahmed O. Badr
container_volume	17
class	TK3001-3521 TK1001-1841
format_se	Elektronische Aufsätze
author-letter	Nour A. Mohamed
doi_str_mv	10.1049/gtd2.12814
author2-role	verfasserin
title_sort	gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm
callnumber	TK3001-3521
title_auth	Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm
abstract	Abstract This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine‐tune the proportional‐integral (PI) controller gains for VSC‐based PMSG‐VSWT and VSC‐based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. MATLAB/Simulink is used to implement the control mechanism.
abstractGer	Abstract This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine‐tune the proportional‐integral (PI) controller gains for VSC‐based PMSG‐VSWT and VSC‐based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. MATLAB/Simulink is used to implement the control mechanism.
abstract_unstemmed	Abstract This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine‐tune the proportional‐integral (PI) controller gains for VSC‐based PMSG‐VSWT and VSC‐based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. MATLAB/Simulink is used to implement the control mechanism.
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container_issue	10
title_short	Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm
url	https://doi.org/10.1049/gtd2.12814 https://doaj.org/article/7cd70359180b459a971af022c5c3d023 https://doaj.org/toc/1751-8687 https://doaj.org/toc/1751-8695
remote_bool	true
author2	Hany M. Hasanien Essam A. Al‐Ammar Marcos Tostado‐Véliz Rania A. Turky Francisco Jurado Ahmed O. Badr
author2Str	Hany M. Hasanien Essam A. Al‐Ammar Marcos Tostado‐Véliz Rania A. Turky Francisco Jurado Ahmed O. Badr
ppnlink	521691990
callnumber-subject	TK - Electrical and Nuclear Engineering
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doi_str	10.1049/gtd2.12814
callnumber-a	TK3001-3521
up_date	2024-07-03T15:44:55.490Z
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Mohamed</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable‐speed wind turbine (VSWT) and connected to the grid through a high‐voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine‐tune the proportional‐integral (PI) controller gains for VSC‐based PMSG‐VSWT and VSC‐based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. 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