dor_id: 4143017

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590.#.#.d: Los artículos enviados a la revista "Journal of Applied Research and Technology", se juzgan por medio de un proceso de revisión por pares

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336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://jart.icat.unam.mx/index.php/jart

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

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/1256/948

100.1.#.a: George, Teena; P, Jayaprakash; Francis, Tinu; Sreedharan, Christopher Ezhil Singh

524.#.#.a: George, Teena, et al. (2022). Wind Energy Conversion System Based PMSG for Maximum Power Tracking and Grid Synchronization Using Adaptive Fuzzy Logic Control: Wind Energy Conversion System Based PMSG. Journal of Applied Research and Technology; Vol. 20 Núm. 6, 2022; 703-717. Recuperado de https://repositorio.unam.mx/contenidos/4143017

245.1.0.a: Wind Energy Conversion System Based PMSG for Maximum Power Tracking and Grid Synchronization Using Adaptive Fuzzy Logic Control: Wind Energy Conversion System Based PMSG

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

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

264.#.0.c: 2022

264.#.1.c: 2022-12-23

653.#.#.a: WECS; PMSG; MPPT; FLCs

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/1256

001.#.#.#: 074.oai:ojs2.localhost:article/1256

041.#.7.h: eng

520.3.#.a: This paper proposes an adaptive fuzzy logic based Maximum Power Point Tracking (MPPT) for Permanent Magnet Synchronous Generator (PMSG) based variable speed Wind Energy Conversion System (WECS). The control algorithm, online updates the scaling factors of the Fuzzy Logic Controllers (FLCs) at a high convergence speed. The adaptive FLC is in cooperated along with field-oriented control of PMSG to track the maximum power. The WECS is connected to the grid through a back-to-back converter. The grid side inverter is controlled by voltage-oriented control along with FLC, so that power quality standards of the grid are maintained. The performance of the system is verified using MATLAB Simulink and it is validated that power coefficient of WECS abide at its optimum value with dynamic conditions in wind speed. The WECS provides full reactive power support for the system with a unity power factor operation at the grid. The active power sharing of WECS to the grid/load changes with the availability of wind power.

773.1.#.t: Journal of Applied Research and Technology; Vol. 20 Núm. 6 (2022); 703-717

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

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

310.#.#.a: Bimestral

300.#.#.a: Páginas: 703-717

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.22201/icat.24486736e.2022.20.6.1256

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

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Artículo

Wind Energy Conversion System Based PMSG for Maximum Power Tracking and Grid Synchronization Using Adaptive Fuzzy Logic Control: Wind Energy Conversion System Based PMSG

George, Teena; P, Jayaprakash; Francis, Tinu; Sreedharan, Christopher Ezhil Singh

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

George, Teena, et al. (2022). Wind Energy Conversion System Based PMSG for Maximum Power Tracking and Grid Synchronization Using Adaptive Fuzzy Logic Control: Wind Energy Conversion System Based PMSG. Journal of Applied Research and Technology; Vol. 20 Núm. 6, 2022; 703-717. Recuperado de https://repositorio.unam.mx/contenidos/4143017

Descripción del recurso

Autor(es)
George, Teena; P, Jayaprakash; Francis, Tinu; Sreedharan, Christopher Ezhil Singh
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Wind Energy Conversion System Based PMSG for Maximum Power Tracking and Grid Synchronization Using Adaptive Fuzzy Logic Control: Wind Energy Conversion System Based PMSG
Fecha
2022-12-23
Resumen
This paper proposes an adaptive fuzzy logic based Maximum Power Point Tracking (MPPT) for Permanent Magnet Synchronous Generator (PMSG) based variable speed Wind Energy Conversion System (WECS). The control algorithm, online updates the scaling factors of the Fuzzy Logic Controllers (FLCs) at a high convergence speed. The adaptive FLC is in cooperated along with field-oriented control of PMSG to track the maximum power. The WECS is connected to the grid through a back-to-back converter. The grid side inverter is controlled by voltage-oriented control along with FLC, so that power quality standards of the grid are maintained. The performance of the system is verified using MATLAB Simulink and it is validated that power coefficient of WECS abide at its optimum value with dynamic conditions in wind speed. The WECS provides full reactive power support for the system with a unity power factor operation at the grid. The active power sharing of WECS to the grid/load changes with the availability of wind power.
Tema
WECS; PMSG; MPPT; FLCs
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces