Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System

This project aims to design a predictive maximum power point tracking (MPPT) for a proton exchange membrane fuel cell system (PEMFC). This predictive MPPT includes the predictive control algorithm of a DC-DC boost converter in the fully functional mathematical modeling of the PEMFC system. The DC-DC...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jye Yun Fam, Shen Yuong Wong, Hazrul Bin Mohamed Basri, Mohammad Omar Abdullah, Kasumawati Binti Lias, Saad Mekhilef
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	MATLAB FC PEMFC DC-DC boost converter MPPT Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/e76480e1f73c46b09d6c5f62e1894f40
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e76480e1f73c46b09d6c5f62e1894f40
record_format	dspace
spelling	oai:doaj.org-article:e76480e1f73c46b09d6c5f62e1894f402021-12-03T00:00:24ZPredictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System2169-353610.1109/ACCESS.2021.3129849https://doaj.org/article/e76480e1f73c46b09d6c5f62e1894f402021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9623565/https://doaj.org/toc/2169-3536This project aims to design a predictive maximum power point tracking (MPPT) for a proton exchange membrane fuel cell system (PEMFC). This predictive MPPT includes the predictive control algorithm of a DC-DC boost converter in the fully functional mathematical modeling of the PEMFC system. The DC-DC boost converter is controlled by the MPPT algorithm and regulates the voltage of the PEMFC to extract the maximum output power. All simulations were performed using MATLAB software to show the power characteristics extracted from the PEMFC system. As a result, the newly designed predictive MPPT algorithm has a fast-tracking of maximum power point (MPP) for different fuel cell (FC) parameters. It is confirmed that the proposed MPPT technique exhibits fast tracking of the MPP locus, outstanding accuracy, and robustness with respect to environmental changes. Furthermore, its MPP tracking time is at least five times faster than that of the particle swarm optimizer with the proportional-integral-derivative controller method.Jye Yun FamShen Yuong WongHazrul Bin Mohamed BasriMohammad Omar AbdullahKasumawati Binti LiasSaad MekhilefIEEEarticleMATLABFCPEMFCDC-DC boost converterMPPTElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 157384-157397 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	MATLAB FC PEMFC DC-DC boost converter MPPT Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	MATLAB FC PEMFC DC-DC boost converter MPPT Electrical engineering. Electronics. Nuclear engineering TK1-9971 Jye Yun Fam Shen Yuong Wong Hazrul Bin Mohamed Basri Mohammad Omar Abdullah Kasumawati Binti Lias Saad Mekhilef Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System
description	This project aims to design a predictive maximum power point tracking (MPPT) for a proton exchange membrane fuel cell system (PEMFC). This predictive MPPT includes the predictive control algorithm of a DC-DC boost converter in the fully functional mathematical modeling of the PEMFC system. The DC-DC boost converter is controlled by the MPPT algorithm and regulates the voltage of the PEMFC to extract the maximum output power. All simulations were performed using MATLAB software to show the power characteristics extracted from the PEMFC system. As a result, the newly designed predictive MPPT algorithm has a fast-tracking of maximum power point (MPP) for different fuel cell (FC) parameters. It is confirmed that the proposed MPPT technique exhibits fast tracking of the MPP locus, outstanding accuracy, and robustness with respect to environmental changes. Furthermore, its MPP tracking time is at least five times faster than that of the particle swarm optimizer with the proportional-integral-derivative controller method.
format	article
author	Jye Yun Fam Shen Yuong Wong Hazrul Bin Mohamed Basri Mohammad Omar Abdullah Kasumawati Binti Lias Saad Mekhilef
author_facet	Jye Yun Fam Shen Yuong Wong Hazrul Bin Mohamed Basri Mohammad Omar Abdullah Kasumawati Binti Lias Saad Mekhilef
author_sort	Jye Yun Fam
title	Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System
title_short	Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System
title_full	Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System
title_fullStr	Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System
title_full_unstemmed	Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System
title_sort	predictive maximum power point tracking for proton exchange membrane fuel cell system
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/e76480e1f73c46b09d6c5f62e1894f40
work_keys_str_mv	AT jyeyunfam predictivemaximumpowerpointtrackingforprotonexchangemembranefuelcellsystem AT shenyuongwong predictivemaximumpowerpointtrackingforprotonexchangemembranefuelcellsystem AT hazrulbinmohamedbasri predictivemaximumpowerpointtrackingforprotonexchangemembranefuelcellsystem AT mohammadomarabdullah predictivemaximumpowerpointtrackingforprotonexchangemembranefuelcellsystem AT kasumawatibintilias predictivemaximumpowerpointtrackingforprotonexchangemembranefuelcellsystem AT saadmekhilef predictivemaximumpowerpointtrackingforprotonexchangemembranefuelcellsystem
_version_	1718374020595843072

Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System

Ejemplares similares