dor_id: 45801

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336.#.#.a: Artículo

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351.#.#.b: Journal of Applied Research and Technology

351.#.#.a: Artículos

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/103/102

100.1.#.a: Yu, Kuo Nan; Liao, Chih Kang

524.#.#.a: Yu, Kuo Nan, et al. (2015). Applying novel fractional order incremental conductance algorithm to design and study the maximum power tracking of small wind power systems. Journal of Applied Research and Technology; Vol. 13 Núm. 2. Recuperado de https://repositorio.unam.mx/contenidos/45801

245.1.0.a: Applying novel fractional order incremental conductance algorithm to design and study the maximum power tracking of small wind power systems

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2015

264.#.1.c: 2015-04-01

653.#.#.a: Wind power; MPPT; Factional order

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

884.#.#.k: https://jart.icat.unam.mx/index.php/jart/article/view/103

001.#.#.#: 074.oai:ojs2.localhost:article/103

041.#.7.h: eng

520.3.#.a: The maximum power point tracking is a very important scheme of many renewable energy. It can increase the power efficiency. However, many traditional methods has defects for the applications. This study proposed a novel fractional order incremental conductance algorithm (FOINC) for the maximum power point tracking design of small wind power systems. The proposed method is prompt in the transient of maximum power point tracking and has good steady-state response. Moreover, it can increase the maximum power tracking efficiency of system without changing the wind power system equipments. The comparison between the traditional incremental conductance method (INC) and Perturbation and Observation (P&O) proved the reliability and effectiveness of the proposed method. All Rights Reserved © 2015 Universidad Nacional Autónoma de México, Centro de Ciencias Aplicadas y Desarrollo Tecnológico. This is an open access item distributed under the Creative Commons CC License BY-NC-ND 4.0.

773.1.#.t: Journal of Applied Research and Technology; Vol. 13 Núm. 2

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

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doi: https://doi.org/10.1016/j.jart.2015.06.002

harvesting_date: 2023-11-08 13:10:00.0

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last_modified: 2024-03-19 14:00:00

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Artículo

Applying novel fractional order incremental conductance algorithm to design and study the maximum power tracking of small wind power systems

Yu, Kuo Nan; Liao, Chih Kang

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Yu, Kuo Nan, et al. (2015). Applying novel fractional order incremental conductance algorithm to design and study the maximum power tracking of small wind power systems. Journal of Applied Research and Technology; Vol. 13 Núm. 2. Recuperado de https://repositorio.unam.mx/contenidos/45801

Descripción del recurso

Autor(es)
Yu, Kuo Nan; Liao, Chih Kang
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Applying novel fractional order incremental conductance algorithm to design and study the maximum power tracking of small wind power systems
Fecha
2015-04-01
Resumen
The maximum power point tracking is a very important scheme of many renewable energy. It can increase the power efficiency. However, many traditional methods has defects for the applications. This study proposed a novel fractional order incremental conductance algorithm (FOINC) for the maximum power point tracking design of small wind power systems. The proposed method is prompt in the transient of maximum power point tracking and has good steady-state response. Moreover, it can increase the maximum power tracking efficiency of system without changing the wind power system equipments. The comparison between the traditional incremental conductance method (INC) and Perturbation and Observation (P&O) proved the reliability and effectiveness of the proposed method. All Rights Reserved © 2015 Universidad Nacional Autónoma de México, Centro de Ciencias Aplicadas y Desarrollo Tecnológico. This is an open access item distributed under the Creative Commons CC License BY-NC-ND 4.0.
Tema
Wind power; MPPT; Factional order
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces