Methodology for technical analysis to massify PV systems as an option for distributed energy generation in low-voltage systems

This work presents the results for the use of a methodology to predict in a statistically reliable way, the impact of the behavior in steady-state of the massification of Grid-connected photovoltaic system to a low-voltage system. The methodology can be implemented either in common using programming...

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Fecha de publicación:
2015
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
eng
OAI Identifier:
oai:repository.udem.edu.co:11407/2488
Acceso en línea:
http://hdl.handle.net/11407/2488
Palabra clave:
Grid-Connected PV systems
Low-Voltage Grid
Monte Carlo Simulation
Stochastic Method
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restrictedAccess
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http://purl.org/coar/access_right/c_16ec
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spelling 2016-07-27T22:06:54Z2016-07-27T22:06:54Z20159781479979448http://hdl.handle.net/11407/248810.1109/PVSC.2015.7356260This work presents the results for the use of a methodology to predict in a statistically reliable way, the impact of the behavior in steady-state of the massification of Grid-connected photovoltaic system to a low-voltage system. The methodology can be implemented either in common using programming software or using any commercial electric system simulation software. First, a grid-connected photovoltaic model was determined and verified for comparing its behavior with output measured on a real installed system 3.6 kWp. Parallel, atmospheric parameters which affect the PV system's behavior were characterized in statistically way from actual measurements. The solar resource characterized and the photovoltaic system model are integrated in a non-deterministic approach using the stochastic method to estimate the electrical parameters in steady- state, describing the influence of massification of the Grid-connected PV systems in low-voltage grid. © 2015 IEEE.engInstitute of Electrical and Electronics Engineers Inc.http://www.scopus.com/inward/record.url?eid=2-s2.0-84961619624&partnerID=40&md5=6bcb7430862313f49f00e9ffc04f7cba2015 IEEE 42nd Photovoltaic Specialist Conference, PVSC 2015 14 December 2015, Article number 7356260ScopusMethodology for technical analysis to massify PV systems as an option for distributed energy generation in low-voltage systemsConference Paperinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/resource_type/c_c94finfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/access_right/c_16ecHernandez, J., LIFAE, Facultad de Ingeniería, Universidad Distrital FJDC, Bogotá, ColombiaArredondo, C.A., Grupo de Investigación en Energía, Facultad de Ingeniería, Universidad de Medellín, Medellín, ColombiaVallejo, W., Grupo de Fotoquímica y Fotobiología, Facultad de Ciencias Básicas, Universidad Del Atlántico, Barranquilla, ColombiaHernandez J.Arredondo C.A.Vallejo W.LIFAE, Facultad de Ingeniería, Universidad Distrital FJDC, Bogotá, ColombiaGrupo de Investigación en Energía, Facultad de Ingeniería, Universidad de Medellín, Medellín, ColombiaGrupo de Fotoquímica y Fotobiología, Facultad de Ciencias Básicas, Universidad Del Atlántico, Barranquilla, ColombiaGrid-Connected PV systemsLow-Voltage GridMonte Carlo SimulationStochastic MethodThis work presents the results for the use of a methodology to predict in a statistically reliable way, the impact of the behavior in steady-state of the massification of Grid-connected photovoltaic system to a low-voltage system. The methodology can be implemented either in common using programming software or using any commercial electric system simulation software. First, a grid-connected photovoltaic model was determined and verified for comparing its behavior with output measured on a real installed system 3.6 kWp. Parallel, atmospheric parameters which affect the PV system's behavior were characterized in statistically way from actual measurements. The solar resource characterized and the photovoltaic system model are integrated in a non-deterministic approach using the stochastic method to estimate the electrical parameters in steady- state, describing the influence of massification of the Grid-connected PV systems in low-voltage grid. © 2015 IEEE.11407/2488oai:repository.udem.edu.co:11407/24882020-05-27 18:17:32.565Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co
dc.title.spa.fl_str_mv Methodology for technical analysis to massify PV systems as an option for distributed energy generation in low-voltage systems
title Methodology for technical analysis to massify PV systems as an option for distributed energy generation in low-voltage systems
spellingShingle Methodology for technical analysis to massify PV systems as an option for distributed energy generation in low-voltage systems
Grid-Connected PV systems
Low-Voltage Grid
Monte Carlo Simulation
Stochastic Method
title_short Methodology for technical analysis to massify PV systems as an option for distributed energy generation in low-voltage systems
title_full Methodology for technical analysis to massify PV systems as an option for distributed energy generation in low-voltage systems
title_fullStr Methodology for technical analysis to massify PV systems as an option for distributed energy generation in low-voltage systems
title_full_unstemmed Methodology for technical analysis to massify PV systems as an option for distributed energy generation in low-voltage systems
title_sort Methodology for technical analysis to massify PV systems as an option for distributed energy generation in low-voltage systems
dc.contributor.affiliation.spa.fl_str_mv Hernandez, J., LIFAE, Facultad de Ingeniería, Universidad Distrital FJDC, Bogotá, Colombia
Arredondo, C.A., Grupo de Investigación en Energía, Facultad de Ingeniería, Universidad de Medellín, Medellín, Colombia
Vallejo, W., Grupo de Fotoquímica y Fotobiología, Facultad de Ciencias Básicas, Universidad Del Atlántico, Barranquilla, Colombia
dc.subject.keyword.eng.fl_str_mv Grid-Connected PV systems
Low-Voltage Grid
Monte Carlo Simulation
Stochastic Method
topic Grid-Connected PV systems
Low-Voltage Grid
Monte Carlo Simulation
Stochastic Method
description This work presents the results for the use of a methodology to predict in a statistically reliable way, the impact of the behavior in steady-state of the massification of Grid-connected photovoltaic system to a low-voltage system. The methodology can be implemented either in common using programming software or using any commercial electric system simulation software. First, a grid-connected photovoltaic model was determined and verified for comparing its behavior with output measured on a real installed system 3.6 kWp. Parallel, atmospheric parameters which affect the PV system's behavior were characterized in statistically way from actual measurements. The solar resource characterized and the photovoltaic system model are integrated in a non-deterministic approach using the stochastic method to estimate the electrical parameters in steady- state, describing the influence of massification of the Grid-connected PV systems in low-voltage grid. © 2015 IEEE.
publishDate 2015
dc.date.created.none.fl_str_mv 2015
dc.date.accessioned.none.fl_str_mv 2016-07-27T22:06:54Z
dc.date.available.none.fl_str_mv 2016-07-27T22:06:54Z
dc.type.eng.fl_str_mv Conference Paper
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_c94f
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.identifier.isbn.none.fl_str_mv 9781479979448
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/2488
dc.identifier.doi.none.fl_str_mv 10.1109/PVSC.2015.7356260
identifier_str_mv 9781479979448
10.1109/PVSC.2015.7356260
url http://hdl.handle.net/11407/2488
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.isversionof.spa.fl_str_mv http://www.scopus.com/inward/record.url?eid=2-s2.0-84961619624&partnerID=40&md5=6bcb7430862313f49f00e9ffc04f7cba
dc.relation.ispartofen.eng.fl_str_mv 2015 IEEE 42nd Photovoltaic Specialist Conference, PVSC 2015 14 December 2015, Article number 7356260
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.publisher.spa.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.spa.fl_str_mv Scopus
institution Universidad de Medellín
repository.name.fl_str_mv Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv repositorio@udem.edu.co
_version_ 1814159199193530368

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