LAPSE:2023.24624
Published Article
LAPSE:2023.24624
A Novel Algorithm for MPPT of an Isolated PV System Using Push Pull Converter with Fuzzy Logic Controller
March 28, 2023
Abstract
Photovoltaic (PV) is a highly promising energy source because of its environment friendly property. However, there is an uncertainty present in the modeling of PV modules owing to varying irradiance and temperature. To solve such uncertainty, the fuzzy logic control-based intelligent maximum power point tracking (MPPT) method is observed to be more suitable as compared with conventional algorithms in PV systems. In this paper, an isolated PV system using a push pull converter with the fuzzy logic-based MPPT algorithm is presented. The proposed methodology optimizes the output power of PV modules and achieves isolation with high DC gain. The DC gain is inverted into a single phase AC through a closed loop fuzzy logic inverter with a low pass filter to reduce the total harmonic distortion (THD). Dynamic simulations are developed in Matlab/Simulink by MathWorks under linear loads. The results show that the fuzzy logic algorithms of the proposed system efficiently track the MPPT and present reduced THD.
Photovoltaic (PV) is a highly promising energy source because of its environment friendly property. However, there is an uncertainty present in the modeling of PV modules owing to varying irradiance and temperature. To solve such uncertainty, the fuzzy logic control-based intelligent maximum power point tracking (MPPT) method is observed to be more suitable as compared with conventional algorithms in PV systems. In this paper, an isolated PV system using a push pull converter with the fuzzy logic-based MPPT algorithm is presented. The proposed methodology optimizes the output power of PV modules and achieves isolation with high DC gain. The DC gain is inverted into a single phase AC through a closed loop fuzzy logic inverter with a low pass filter to reduce the total harmonic distortion (THD). Dynamic simulations are developed in Matlab/Simulink by MathWorks under linear loads. The results show that the fuzzy logic algorithms of the proposed system efficiently track the MPPT and present reduced THD.
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Keywords
fuzzy logic control, maximum power point tracking, off-grid voltage source inverter, photovoltaic, push pull converter
Subject
Suggested Citation
Hassan TU, Abbassi R, Jerbi H, Mehmood K, Tahir MF, Cheema KM, Elavarasan RM, Ali F, Khan IA. A Novel Algorithm for MPPT of an Isolated PV System Using Push Pull Converter with Fuzzy Logic Controller. (2023). LAPSE:2023.24624
Author Affiliations
Hassan TU: Department of Electrical Engineering, Punjab University, Lahore 54000, Pakistan
Abbassi R: Department of Electrical Engineering, College of Engineering, University of Ha’il, Hail 1234, Saudi Arabia [ORCID]
Jerbi H: Department of Industrial Engineering, College of Engineering, University of Ha’il, Hail 1234, Saudi Arabia [ORCID]
Mehmood K: School of Electrical Engineering, Southeast University, Nanjing 210000, China; Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan [ORCID]
Tahir MF: School of Electric Power, South China University of Technology, Guangzhou 510000, China [ORCID]
Cheema KM: School of Electrical Engineering, Southeast University, Nanjing 210000, China
Elavarasan RM: Electrical and Automotive Parts Manufacturing Unit, AA Industries, Chennai 600123, India [ORCID]
Ali F: Lahore University of Management Sciences, Lahore 54000, Pakistan
Khan IA: Marine Engineering Technology Department in a Joint Appointment with Electrical and Computer Engineering, Texas A&M University, Galveston, TX 77553, USA [ORCID]
Abbassi R: Department of Electrical Engineering, College of Engineering, University of Ha’il, Hail 1234, Saudi Arabia [ORCID]
Jerbi H: Department of Industrial Engineering, College of Engineering, University of Ha’il, Hail 1234, Saudi Arabia [ORCID]
Mehmood K: School of Electrical Engineering, Southeast University, Nanjing 210000, China; Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan [ORCID]
Tahir MF: School of Electric Power, South China University of Technology, Guangzhou 510000, China [ORCID]
Cheema KM: School of Electrical Engineering, Southeast University, Nanjing 210000, China
Elavarasan RM: Electrical and Automotive Parts Manufacturing Unit, AA Industries, Chennai 600123, India [ORCID]
Ali F: Lahore University of Management Sciences, Lahore 54000, Pakistan
Khan IA: Marine Engineering Technology Department in a Joint Appointment with Electrical and Computer Engineering, Texas A&M University, Galveston, TX 77553, USA [ORCID]
Journal Name
Energies
Volume
13
Issue
15
Article Number
E4007
Year
2020
Publication Date
2020-08-03
ISSN
1996-1073
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PII: en13154007, Publication Type: Journal Article
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LAPSE:2023.24624
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https://doi.org/10.3390/en13154007
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Mar 28, 2023
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Mar 28, 2023
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