Representation and estimation of the power coefficient in wind energy conversion systems

This paper aims at summarizing various methods used for representing and estimating the power coefficient in wind turbines, such as exponential, sinusoidal and polynomial models, as well as mathematical tools known as state observers. We present an exhaustive bibliographic review of the models used...

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Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
eng
OAI Identifier:
oai:repositorio.uptc.edu.co:001/14233
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816
https://repositorio.uptc.edu.co/handle/001/14233
Palabra clave:
energy conversion
energy efficiency
power coefficient
state estimation
wind energy
coeficiente de potencia
conversión de energía
eficiencia energética
energía eólica
estimación de estado
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License
http://purl.org/coar/access_right/c_abf95
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dc.title.en-US.fl_str_mv Representation and estimation of the power coefficient in wind energy conversion systems
dc.title.es-ES.fl_str_mv Representación y estimación del coeficiente de potencia en sistemas de conversión de energía eólica
title Representation and estimation of the power coefficient in wind energy conversion systems
spellingShingle Representation and estimation of the power coefficient in wind energy conversion systems
energy conversion
energy efficiency
power coefficient
state estimation
wind energy
coeficiente de potencia
conversión de energía
eficiencia energética
energía eólica
estimación de estado
title_short Representation and estimation of the power coefficient in wind energy conversion systems
title_full Representation and estimation of the power coefficient in wind energy conversion systems
title_fullStr Representation and estimation of the power coefficient in wind energy conversion systems
title_full_unstemmed Representation and estimation of the power coefficient in wind energy conversion systems
title_sort Representation and estimation of the power coefficient in wind energy conversion systems
dc.subject.en-US.fl_str_mv energy conversion
energy efficiency
power coefficient
state estimation
wind energy
topic energy conversion
energy efficiency
power coefficient
state estimation
wind energy
coeficiente de potencia
conversión de energía
eficiencia energética
energía eólica
estimación de estado
dc.subject.es-ES.fl_str_mv coeficiente de potencia
conversión de energía
eficiencia energética
energía eólica
estimación de estado
description This paper aims at summarizing various methods used for representing and estimating the power coefficient in wind turbines, such as exponential, sinusoidal and polynomial models, as well as mathematical tools known as state observers. We present an exhaustive bibliographic review of the models used to calculate the power coefficient, given that this type of studies are scarce nowadays. In addition, we propose models that can be satisfactorily used for various analyzes of wind energy conversion systems, such as the representation by a polynomial function of fourth degree and the models based on the stochastic probability function. The relevance of this work is supported by the advantages and disadvantages of the various models and estimators of the power coefficient, which are presented at the end of the article in a comparative table with the purpose of offering to the reader a general summary. Ultimately, this review aims at helping researchers, students, university professors and those who wish to venture into this field, even though they do not have much experience, to establish a quick synthesized understanding of the different models and representations of the power coefficient.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2024-07-05T19:11:49Z
dc.date.available.none.fl_str_mv 2024-07-05T19:11:49Z
dc.date.none.fl_str_mv 2019-01-10
dc.type.en-US.fl_str_mv research
dc.type.es-ES.fl_str_mv investigación
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
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dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816
10.19053/01211129.v28.n50.2019.8816
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/14233
url https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816
https://repositorio.uptc.edu.co/handle/001/14233
identifier_str_mv 10.19053/01211129.v28.n50.2019.8816
dc.language.none.fl_str_mv eng
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816/7312
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816/7505
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816/7534
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
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dc.format.none.fl_str_mv application/pdf
application/xml
dc.coverage.en-US.fl_str_mv N.A.
dc.coverage.es-ES.fl_str_mv N.A.
dc.publisher.en-US.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Revista Facultad de Ingeniería; Vol. 28 No. 50 (2019); 77-90
dc.source.es-ES.fl_str_mv Revista Facultad de Ingeniería; Vol. 28 Núm. 50 (2019); 77-90
dc.source.none.fl_str_mv 2357-5328
0121-1129
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
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spelling 2019-01-102024-07-05T19:11:49Z2024-07-05T19:11:49Zhttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/881610.19053/01211129.v28.n50.2019.8816https://repositorio.uptc.edu.co/handle/001/14233This paper aims at summarizing various methods used for representing and estimating the power coefficient in wind turbines, such as exponential, sinusoidal and polynomial models, as well as mathematical tools known as state observers. We present an exhaustive bibliographic review of the models used to calculate the power coefficient, given that this type of studies are scarce nowadays. In addition, we propose models that can be satisfactorily used for various analyzes of wind energy conversion systems, such as the representation by a polynomial function of fourth degree and the models based on the stochastic probability function. The relevance of this work is supported by the advantages and disadvantages of the various models and estimators of the power coefficient, which are presented at the end of the article in a comparative table with the purpose of offering to the reader a general summary. Ultimately, this review aims at helping researchers, students, university professors and those who wish to venture into this field, even though they do not have much experience, to establish a quick synthesized understanding of the different models and representations of the power coefficient.Este artículo presenta un resumen de diversos métodos utilizados para la representación y estimación del coeficiente de potencia en aerogeneradores, tales como modelos exponenciales, sinusoidales y polinomiales, así como también de herramientas matemáticas conocidas como observadores de estado. Dada la escasez de estudios que le presenten al lector un panorama general de los modelos utilizados para el cálculo del coeficiente de potencia, este resumen, producto de una revisión bibliográfica exhaustiva, constituye un aporte importante. Otra contribución que se logró fue presentar propuestas propias de modelos que pueden ser utilizados satisfactoriamente para diversos análisis de sistemas de conversión de energía eólica, tales como la representación por una función polinomial de cuarto grado y los modelos basados en la función de probabilidad estocástica. La relevancia de este trabajo se apoya en las ventajas y desventajas de los diversos modelos y estimadores del coeficiente de potencia, las cuales se presentan al final del artículo en una tabla comparativa, con el propósito de ofrecer al lector un resumen general que le permita una comprensión rápida y sintetizada de los diversos modelos y representaciones del coeficiente de potencia, lo que ayuda a investigadores, estudiantes, profesores universitarios y a quienes deseen incursionar en este campo, aunque no tengan mucha experiencia.application/pdfapplication/xmlengengUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816/7312https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816/7505https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816/7534Revista Facultad de Ingeniería; Vol. 28 No. 50 (2019); 77-90Revista Facultad de Ingeniería; Vol. 28 Núm. 50 (2019); 77-902357-53280121-1129energy conversionenergy efficiencypower coefficientstate estimationwind energycoeficiente de potenciaconversión de energíaeficiencia energéticaenergía eólicaestimación de estadoRepresentation and estimation of the power coefficient in wind energy conversion systemsRepresentación y estimación del coeficiente de potencia en sistemas de conversión de energía eólicaresearchinvestigacióninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a178http://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/access_right/c_abf95http://purl.org/coar/access_right/c_abf2N.A.N.A.González-Hernández, José GenaroSalas-Cabrera, Rubén001/14233oai:repositorio.uptc.edu.co:001/142332025-07-18 11:53:14.509metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co