Wind Power Ramps Driven by Windstorms and Cyclones

The increase in the wind power predictability assumes a very important role for secure power system operation at minimum costs, especially in situations with severe changes in wind power production. In order to improve the forecast of such events, also known as “wind power ramp events”, the underlyi...
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Autor*in:	Madalena Lacerda [verfasserIn] António Couto [verfasserIn] Ana Estanqueiro [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	wind power ramps cyclonic activity power generation system management weather conditions windstorms

Übergeordnetes Werk:	In: Energies - MDPI AG, 2008, 10(2017), 10, p 1475
Übergeordnetes Werk:	volume:10 ; year:2017 ; number:10, p 1475

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/en10101475

Katalog-ID:	DOAJ085652253

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allfields	10.3390/en10101475 doi (DE-627)DOAJ085652253 (DE-599)DOAJ88012ceef18145bfb5d7193681f23068 DE-627 ger DE-627 rakwb eng Madalena Lacerda verfasserin aut Wind Power Ramps Driven by Windstorms and Cyclones 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The increase in the wind power predictability assumes a very important role for secure power system operation at minimum costs, especially in situations with severe changes in wind power production. In order to improve the forecast of such events, also known as “wind power ramp events”, the underlying role of some severe meteorological phenomena in triggering wind power ramps must be clearly understood. In this paper, windstorm and cyclone detection algorithms are implemented using historical reanalysis data allowing the identification of key characteristics (e.g., location, intensity and trajectories) of the events with the highest impact on the wind power ramp events in Portugal. The results show a strong association between cyclones/windstorms and wind power ramp events. Moreover, the results highlight that it is possible to use some features of these meteorological phenomena to detect, in an early stage, severe wind power ramps thus creating the possibility to develop operational decision tools in order to support the security of power systems with high amounts of wind power generation. wind power ramps cyclonic activity power generation system management weather conditions windstorms Technology T António Couto verfasserin aut Ana Estanqueiro verfasserin aut In Energies MDPI AG, 2008 10(2017), 10, p 1475 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:10, p 1475 https://doi.org/10.3390/en10101475 kostenfrei https://doaj.org/article/88012ceef18145bfb5d7193681f23068 kostenfrei https://www.mdpi.com/1996-1073/10/10/1475 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 10 2017 10, p 1475
spelling	10.3390/en10101475 doi (DE-627)DOAJ085652253 (DE-599)DOAJ88012ceef18145bfb5d7193681f23068 DE-627 ger DE-627 rakwb eng Madalena Lacerda verfasserin aut Wind Power Ramps Driven by Windstorms and Cyclones 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The increase in the wind power predictability assumes a very important role for secure power system operation at minimum costs, especially in situations with severe changes in wind power production. In order to improve the forecast of such events, also known as “wind power ramp events”, the underlying role of some severe meteorological phenomena in triggering wind power ramps must be clearly understood. In this paper, windstorm and cyclone detection algorithms are implemented using historical reanalysis data allowing the identification of key characteristics (e.g., location, intensity and trajectories) of the events with the highest impact on the wind power ramp events in Portugal. The results show a strong association between cyclones/windstorms and wind power ramp events. Moreover, the results highlight that it is possible to use some features of these meteorological phenomena to detect, in an early stage, severe wind power ramps thus creating the possibility to develop operational decision tools in order to support the security of power systems with high amounts of wind power generation. wind power ramps cyclonic activity power generation system management weather conditions windstorms Technology T António Couto verfasserin aut Ana Estanqueiro verfasserin aut In Energies MDPI AG, 2008 10(2017), 10, p 1475 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:10, p 1475 https://doi.org/10.3390/en10101475 kostenfrei https://doaj.org/article/88012ceef18145bfb5d7193681f23068 kostenfrei https://www.mdpi.com/1996-1073/10/10/1475 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 10 2017 10, p 1475
allfields_unstemmed	10.3390/en10101475 doi (DE-627)DOAJ085652253 (DE-599)DOAJ88012ceef18145bfb5d7193681f23068 DE-627 ger DE-627 rakwb eng Madalena Lacerda verfasserin aut Wind Power Ramps Driven by Windstorms and Cyclones 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The increase in the wind power predictability assumes a very important role for secure power system operation at minimum costs, especially in situations with severe changes in wind power production. In order to improve the forecast of such events, also known as “wind power ramp events”, the underlying role of some severe meteorological phenomena in triggering wind power ramps must be clearly understood. In this paper, windstorm and cyclone detection algorithms are implemented using historical reanalysis data allowing the identification of key characteristics (e.g., location, intensity and trajectories) of the events with the highest impact on the wind power ramp events in Portugal. The results show a strong association between cyclones/windstorms and wind power ramp events. Moreover, the results highlight that it is possible to use some features of these meteorological phenomena to detect, in an early stage, severe wind power ramps thus creating the possibility to develop operational decision tools in order to support the security of power systems with high amounts of wind power generation. wind power ramps cyclonic activity power generation system management weather conditions windstorms Technology T António Couto verfasserin aut Ana Estanqueiro verfasserin aut In Energies MDPI AG, 2008 10(2017), 10, p 1475 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:10, p 1475 https://doi.org/10.3390/en10101475 kostenfrei https://doaj.org/article/88012ceef18145bfb5d7193681f23068 kostenfrei https://www.mdpi.com/1996-1073/10/10/1475 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 10 2017 10, p 1475
allfieldsGer	10.3390/en10101475 doi (DE-627)DOAJ085652253 (DE-599)DOAJ88012ceef18145bfb5d7193681f23068 DE-627 ger DE-627 rakwb eng Madalena Lacerda verfasserin aut Wind Power Ramps Driven by Windstorms and Cyclones 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The increase in the wind power predictability assumes a very important role for secure power system operation at minimum costs, especially in situations with severe changes in wind power production. In order to improve the forecast of such events, also known as “wind power ramp events”, the underlying role of some severe meteorological phenomena in triggering wind power ramps must be clearly understood. In this paper, windstorm and cyclone detection algorithms are implemented using historical reanalysis data allowing the identification of key characteristics (e.g., location, intensity and trajectories) of the events with the highest impact on the wind power ramp events in Portugal. The results show a strong association between cyclones/windstorms and wind power ramp events. Moreover, the results highlight that it is possible to use some features of these meteorological phenomena to detect, in an early stage, severe wind power ramps thus creating the possibility to develop operational decision tools in order to support the security of power systems with high amounts of wind power generation. wind power ramps cyclonic activity power generation system management weather conditions windstorms Technology T António Couto verfasserin aut Ana Estanqueiro verfasserin aut In Energies MDPI AG, 2008 10(2017), 10, p 1475 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:10, p 1475 https://doi.org/10.3390/en10101475 kostenfrei https://doaj.org/article/88012ceef18145bfb5d7193681f23068 kostenfrei https://www.mdpi.com/1996-1073/10/10/1475 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 10 2017 10, p 1475
allfieldsSound	10.3390/en10101475 doi (DE-627)DOAJ085652253 (DE-599)DOAJ88012ceef18145bfb5d7193681f23068 DE-627 ger DE-627 rakwb eng Madalena Lacerda verfasserin aut Wind Power Ramps Driven by Windstorms and Cyclones 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The increase in the wind power predictability assumes a very important role for secure power system operation at minimum costs, especially in situations with severe changes in wind power production. In order to improve the forecast of such events, also known as “wind power ramp events”, the underlying role of some severe meteorological phenomena in triggering wind power ramps must be clearly understood. In this paper, windstorm and cyclone detection algorithms are implemented using historical reanalysis data allowing the identification of key characteristics (e.g., location, intensity and trajectories) of the events with the highest impact on the wind power ramp events in Portugal. The results show a strong association between cyclones/windstorms and wind power ramp events. Moreover, the results highlight that it is possible to use some features of these meteorological phenomena to detect, in an early stage, severe wind power ramps thus creating the possibility to develop operational decision tools in order to support the security of power systems with high amounts of wind power generation. wind power ramps cyclonic activity power generation system management weather conditions windstorms Technology T António Couto verfasserin aut Ana Estanqueiro verfasserin aut In Energies MDPI AG, 2008 10(2017), 10, p 1475 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:10 year:2017 number:10, p 1475 https://doi.org/10.3390/en10101475 kostenfrei https://doaj.org/article/88012ceef18145bfb5d7193681f23068 kostenfrei https://www.mdpi.com/1996-1073/10/10/1475 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 10 2017 10, p 1475
language	English
source	In Energies 10(2017), 10, p 1475 volume:10 year:2017 number:10, p 1475
sourceStr	In Energies 10(2017), 10, p 1475 volume:10 year:2017 number:10, p 1475
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	wind power ramps cyclonic activity power generation system management weather conditions windstorms Technology T
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container_title	Energies
authorswithroles_txt_mv	Madalena Lacerda @@aut@@ António Couto @@aut@@ Ana Estanqueiro @@aut@@
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author	Madalena Lacerda
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topic_title	Wind Power Ramps Driven by Windstorms and Cyclones wind power ramps cyclonic activity power generation system management weather conditions windstorms
topic	misc wind power ramps misc cyclonic activity misc power generation system management misc weather conditions misc windstorms misc Technology misc T
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title	Wind Power Ramps Driven by Windstorms and Cyclones
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title_auth	Wind Power Ramps Driven by Windstorms and Cyclones
abstract	The increase in the wind power predictability assumes a very important role for secure power system operation at minimum costs, especially in situations with severe changes in wind power production. In order to improve the forecast of such events, also known as “wind power ramp events”, the underlying role of some severe meteorological phenomena in triggering wind power ramps must be clearly understood. In this paper, windstorm and cyclone detection algorithms are implemented using historical reanalysis data allowing the identification of key characteristics (e.g., location, intensity and trajectories) of the events with the highest impact on the wind power ramp events in Portugal. The results show a strong association between cyclones/windstorms and wind power ramp events. Moreover, the results highlight that it is possible to use some features of these meteorological phenomena to detect, in an early stage, severe wind power ramps thus creating the possibility to develop operational decision tools in order to support the security of power systems with high amounts of wind power generation.
abstractGer	The increase in the wind power predictability assumes a very important role for secure power system operation at minimum costs, especially in situations with severe changes in wind power production. In order to improve the forecast of such events, also known as “wind power ramp events”, the underlying role of some severe meteorological phenomena in triggering wind power ramps must be clearly understood. In this paper, windstorm and cyclone detection algorithms are implemented using historical reanalysis data allowing the identification of key characteristics (e.g., location, intensity and trajectories) of the events with the highest impact on the wind power ramp events in Portugal. The results show a strong association between cyclones/windstorms and wind power ramp events. Moreover, the results highlight that it is possible to use some features of these meteorological phenomena to detect, in an early stage, severe wind power ramps thus creating the possibility to develop operational decision tools in order to support the security of power systems with high amounts of wind power generation.
abstract_unstemmed	The increase in the wind power predictability assumes a very important role for secure power system operation at minimum costs, especially in situations with severe changes in wind power production. In order to improve the forecast of such events, also known as “wind power ramp events”, the underlying role of some severe meteorological phenomena in triggering wind power ramps must be clearly understood. In this paper, windstorm and cyclone detection algorithms are implemented using historical reanalysis data allowing the identification of key characteristics (e.g., location, intensity and trajectories) of the events with the highest impact on the wind power ramp events in Portugal. The results show a strong association between cyclones/windstorms and wind power ramp events. Moreover, the results highlight that it is possible to use some features of these meteorological phenomena to detect, in an early stage, severe wind power ramps thus creating the possibility to develop operational decision tools in order to support the security of power systems with high amounts of wind power generation.
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title_short	Wind Power Ramps Driven by Windstorms and Cyclones
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