dor_id: 4143021
506.#.#.a: Público
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
510.0.#.a: Scopus, Directory of Open Access Journals (DOAJ); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Indice de Revistas Latinoamericanas en Ciencias (Periódica); La Red de Revistas Científicas de América Latina y el Caribe, España y Portugal (Redalyc); Consejo Nacional de Ciencia y Tecnología (CONACyT); Google Scholar Citation
561.#.#.u: https://www.icat.unam.mx/
650.#.4.x: Ingenierías
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
590.#.#.c: Open Journal Systems (OJS)
270.#.#.d: MX
270.1.#.d: México
590.#.#.b: Concentrador
883.#.#.u: https://revistas.unam.mx/catalogo/
883.#.#.a: Revistas UNAM
590.#.#.a: Coordinación de Difusión Cultural
883.#.#.1: https://www.publicaciones.unam.mx/
883.#.#.q: Dirección General de Publicaciones y Fomento Editorial
850.#.#.a: Universidad Nacional Autónoma de México
856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/2171/962
100.1.#.a: Benbouhenni, Habib
524.#.#.a: Benbouhenni, Habib (2023). A New direct power control method of the DFIG-DRWT system using neural PI controllers and four-level neural modified SVM technique. Journal of Applied Research and Technology; Vol. 21 Núm. 1, 2023; 36-55. Recuperado de https://repositorio.unam.mx/contenidos/4143021
245.1.0.a: A New direct power control method of the DFIG-DRWT system using neural PI controllers and four-level neural modified SVM technique
502.#.#.c: Universidad Nacional Autónoma de México
561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM
264.#.0.c: 2023
264.#.1.c: 2023-02-23
653.#.#.a: Direct power control; doubly fed induction generator; dual-rotor wind turbine; direct reactive and active powers command; robustness; space vector pulse width modulation
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/2171
001.#.#.#: 074.oai:ojs2.localhost:article/2171
041.#.7.h: eng
520.3.#.a: Recently, direct power control (DPC) based proportional-integral (PI) controllers have become dominant for doubly fed induction generators (DFIGs) due to its simplicity and good dynamic response. But this strategy gives a high total harmonic distortion (THD) of the voltage and a large power ripple. In this paper, a new DPC method (called as NDPC-4L-NSVPWM) is proposed based on a four-level neural space vector pulse width modulation (4L-NSVPWM) and neural PI controllers for direct active and reactive powers command (DRAPC) of a DFIG integrated in a dual-rotor wind turbine (DRWT). This control scheme is based on direct reactive and active powers estimation. Theoretical principles of this strategy are presented along with simulation results. The advantages and robustness of NDPC-4L-NSVPWM control over other DPC with PI controllers (DPC-PI) are presented. The main advantages of NDPC-4L-NSVPWM strategy are relative to its good dynamic response, simplicity of the algorithm and operation at a constant switching frequency. Analysis of NDPC-4L-NSVPWM strategy based DFIG-DRWT has been done in MATLAB/Simulink software. Simulation results validate the performance of the NDPC-4L-NSVPWM strategy by evaluating the THD of current and the reduction of the ripples for the active/reactive power of DFIG-DRWTs.
773.1.#.t: Journal of Applied Research and Technology; Vol. 21 Núm. 1 (2023); 36-55
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: 36-55
264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM
doi: https://doi.org/10.22201/icat.24486736e.2023.21.1.2171
harvesting_date: 2023-11-08 13:10:00.0
856.#.0.q: application/pdf
file_creation_date: 2023-02-22 20:20:28.0
file_modification_date: 2023-02-22 20:20:28.0
file_creator: Yolanda G.G.
file_name: 1cc1433f87c186ac7cf7e885146fd8c9cabfdaf3b27e88051be9ecdab653d4a8.pdf
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last_modified: 2024-03-19 14:00:00
license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es
license_type: by-nc-sa
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