Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter

This study presents an adaptive perturb and observe (P&O)-fuzzy control maximum power point tracking (MPPT) for photovoltaic (PV) boost dc-dc converter. P&O is known as a very simple MPPT algorithm and used widely. Fuzzy logic is also simple to be developed and provides fast response. The pr...

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Main Authors: Mohd Zainuri, Muhammad Ammirrul Atiqi, Mohd Radzi, Mohd Amran, Che Soh, Azura, Abd Rahim, Nasrudin
Format: Article
Language:English
Published: The Institution of Engineering and Technology 2014
Online Access:http://psasir.upm.edu.my/id/eprint/37058/
http://psasir.upm.edu.my/id/eprint/37058/1/Development%20of%20adaptive%20perturb%20and%20observe.pdf
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author Mohd Zainuri, Muhammad Ammirrul Atiqi
Mohd Radzi, Mohd Amran
Che Soh, Azura
Abd Rahim, Nasrudin
author_facet Mohd Zainuri, Muhammad Ammirrul Atiqi
Mohd Radzi, Mohd Amran
Che Soh, Azura
Abd Rahim, Nasrudin
author_sort Mohd Zainuri, Muhammad Ammirrul Atiqi
building UPM Institutional Repository
collection Online Access
description This study presents an adaptive perturb and observe (P&O)-fuzzy control maximum power point tracking (MPPT) for photovoltaic (PV) boost dc-dc converter. P&O is known as a very simple MPPT algorithm and used widely. Fuzzy logic is also simple to be developed and provides fast response. The proposed technique combines both of their advantages. It should improve MPPT performance especially with existing of noise. For evaluation and comparison analysis, conventional P&O and fuzzy logic control algorithms have been developed too. All the algorithms were simulated in MATLAB-Simulink, respectively, together with PV module of Kyocera KD210GH-2PU connected to PV boost dc-dc converter. For hardware implementation, the proposed adaptive P&O-fuzzy control MPPT was programmed in TMS320F28335 digital signal processing board. The other two conventional MPPT methods were also programmed for comparison purpose. Performance assessment covers overshoot, time response, maximum power ratio, oscillation and stability as described further in this study. From the results and analysis, the adaptive P&O-fuzzy control MPPT shows the best performance with fast time response, less overshoot and more stable operation. It has high maximum power ratio as compared to the other two conventional MPPT algorithms especially with existing of noise in the system at low irradiance.
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spelling upm-370582015-10-06T07:09:33Z http://psasir.upm.edu.my/id/eprint/37058/ Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter Mohd Zainuri, Muhammad Ammirrul Atiqi Mohd Radzi, Mohd Amran Che Soh, Azura Abd Rahim, Nasrudin This study presents an adaptive perturb and observe (P&O)-fuzzy control maximum power point tracking (MPPT) for photovoltaic (PV) boost dc-dc converter. P&O is known as a very simple MPPT algorithm and used widely. Fuzzy logic is also simple to be developed and provides fast response. The proposed technique combines both of their advantages. It should improve MPPT performance especially with existing of noise. For evaluation and comparison analysis, conventional P&O and fuzzy logic control algorithms have been developed too. All the algorithms were simulated in MATLAB-Simulink, respectively, together with PV module of Kyocera KD210GH-2PU connected to PV boost dc-dc converter. For hardware implementation, the proposed adaptive P&O-fuzzy control MPPT was programmed in TMS320F28335 digital signal processing board. The other two conventional MPPT methods were also programmed for comparison purpose. Performance assessment covers overshoot, time response, maximum power ratio, oscillation and stability as described further in this study. From the results and analysis, the adaptive P&O-fuzzy control MPPT shows the best performance with fast time response, less overshoot and more stable operation. It has high maximum power ratio as compared to the other two conventional MPPT algorithms especially with existing of noise in the system at low irradiance. The Institution of Engineering and Technology 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/37058/1/Development%20of%20adaptive%20perturb%20and%20observe.pdf Mohd Zainuri, Muhammad Ammirrul Atiqi and Mohd Radzi, Mohd Amran and Che Soh, Azura and Abd Rahim, Nasrudin (2014) Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter. IET Renewable Power Generation, 8 (2). pp. 183-194. ISSN 1752-1416; ESSN: 1752-1424 10.1049/iet-rpg.2012.0362
spellingShingle Mohd Zainuri, Muhammad Ammirrul Atiqi
Mohd Radzi, Mohd Amran
Che Soh, Azura
Abd Rahim, Nasrudin
Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter
title Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter
title_full Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter
title_fullStr Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter
title_full_unstemmed Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter
title_short Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter
title_sort development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter
url http://psasir.upm.edu.my/id/eprint/37058/
http://psasir.upm.edu.my/id/eprint/37058/
http://psasir.upm.edu.my/id/eprint/37058/1/Development%20of%20adaptive%20perturb%20and%20observe.pdf