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Proton Exchange Membrane Fuel Cell Maximum Power Point Tracking Featuring Predictive Voltage Control

Concerns about climate change and the finite supply of fossil fuels have increased interest in renewable energy during the last few years. Renewable energy has the potential to offer a stable, cost-effective source of power for homes and businesses, in addition to being environmentally friendly....

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Main Author: Mohd. Akhimullah, Kasim Selamat
Format: Final Year Project Report
Language:English
English
Published: Universiti Malaysia Sarawak (UNIMAS) 2023
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/42989/1/Mohd.%20Akhimullah%20%2824pgs%29.pdf
http://ir.unimas.my/id/eprint/42989/2/Mohd.%20Akhimullah%20%28Fulltext%29.pdf
http://ir.unimas.my/id/eprint/42989/
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spelling my.unimas.ir.429892023-10-11T09:32:30Z http://ir.unimas.my/id/eprint/42989/ Proton Exchange Membrane Fuel Cell Maximum Power Point Tracking Featuring Predictive Voltage Control Mohd. Akhimullah, Kasim Selamat TK Electrical engineering. Electronics Nuclear engineering Concerns about climate change and the finite supply of fossil fuels have increased interest in renewable energy during the last few years. Renewable energy has the potential to offer a stable, cost-effective source of power for homes and businesses, in addition to being environmentally friendly. Fuel cells have lately gained interest as a potential renewable energy source due to their low environmental impact. Fuel cells provide various benefits over conventional combustion-based systems, including high efficiency, minimal emissions, and silent operation. In this project, a PEMFC was chosen because it has interesting features and very efficient since it can operate at low temperatures, which makes them good for a wide range of uses, such as in portable devices, vehicles, and stationary power systems. In general, the output characteristics of fuel cells are nonlinear and influenced by parameters such as the cell temperature, oxygen partial pressure, hydrogen partial pressure, and membrane water content. Thus, there are several techniques to determine the maximum power of the fuel cell by using MPPT method such as P&O, INC, FLC and PSO. This project involves research on the general concept of PEMFC and the fundamentals of model predictive control. A PEMFC system with model predictive control is introduced in this research. In this project, a DC-DC boost converter is utilised to manage the output voltage of the fuel cell in order to extract the maximum output power. Then, a DC-AC converter is utilised to transform the output voltage from the boost converter into an AC waveform by using voltage source inverter. Both of the power converter system will be controlled by using the MPC whereby the switching state for the boost converter and voltage source inverter is based on the predictive approach. Hence, this project's goal is to demonstrate the power characteristics retrieved from the PEMFC system utilising predictive control and to regulate the voltage based on the standard of electrical appliances to ensure safety and reliable operation. Universiti Malaysia Sarawak (UNIMAS) 2023 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/42989/1/Mohd.%20Akhimullah%20%2824pgs%29.pdf text en http://ir.unimas.my/id/eprint/42989/2/Mohd.%20Akhimullah%20%28Fulltext%29.pdf Mohd. Akhimullah, Kasim Selamat (2023) Proton Exchange Membrane Fuel Cell Maximum Power Point Tracking Featuring Predictive Voltage Control. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd. Akhimullah, Kasim Selamat
Proton Exchange Membrane Fuel Cell Maximum Power Point Tracking Featuring Predictive Voltage Control
description Concerns about climate change and the finite supply of fossil fuels have increased interest in renewable energy during the last few years. Renewable energy has the potential to offer a stable, cost-effective source of power for homes and businesses, in addition to being environmentally friendly. Fuel cells have lately gained interest as a potential renewable energy source due to their low environmental impact. Fuel cells provide various benefits over conventional combustion-based systems, including high efficiency, minimal emissions, and silent operation. In this project, a PEMFC was chosen because it has interesting features and very efficient since it can operate at low temperatures, which makes them good for a wide range of uses, such as in portable devices, vehicles, and stationary power systems. In general, the output characteristics of fuel cells are nonlinear and influenced by parameters such as the cell temperature, oxygen partial pressure, hydrogen partial pressure, and membrane water content. Thus, there are several techniques to determine the maximum power of the fuel cell by using MPPT method such as P&O, INC, FLC and PSO. This project involves research on the general concept of PEMFC and the fundamentals of model predictive control. A PEMFC system with model predictive control is introduced in this research. In this project, a DC-DC boost converter is utilised to manage the output voltage of the fuel cell in order to extract the maximum output power. Then, a DC-AC converter is utilised to transform the output voltage from the boost converter into an AC waveform by using voltage source inverter. Both of the power converter system will be controlled by using the MPC whereby the switching state for the boost converter and voltage source inverter is based on the predictive approach. Hence, this project's goal is to demonstrate the power characteristics retrieved from the PEMFC system utilising predictive control and to regulate the voltage based on the standard of electrical appliances to ensure safety and reliable operation.
format Final Year Project Report
author Mohd. Akhimullah, Kasim Selamat
author_facet Mohd. Akhimullah, Kasim Selamat
author_sort Mohd. Akhimullah, Kasim Selamat
title Proton Exchange Membrane Fuel Cell Maximum Power Point Tracking Featuring Predictive Voltage Control
title_short Proton Exchange Membrane Fuel Cell Maximum Power Point Tracking Featuring Predictive Voltage Control
title_full Proton Exchange Membrane Fuel Cell Maximum Power Point Tracking Featuring Predictive Voltage Control
title_fullStr Proton Exchange Membrane Fuel Cell Maximum Power Point Tracking Featuring Predictive Voltage Control
title_full_unstemmed Proton Exchange Membrane Fuel Cell Maximum Power Point Tracking Featuring Predictive Voltage Control
title_sort proton exchange membrane fuel cell maximum power point tracking featuring predictive voltage control
publisher Universiti Malaysia Sarawak (UNIMAS)
publishDate 2023
url http://ir.unimas.my/id/eprint/42989/1/Mohd.%20Akhimullah%20%2824pgs%29.pdf
http://ir.unimas.my/id/eprint/42989/2/Mohd.%20Akhimullah%20%28Fulltext%29.pdf
http://ir.unimas.my/id/eprint/42989/
_version_ 1781710343062421504
score 13.211869

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