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Performance Comparison of Widely-Used Maximum Power Point Tracker Algorithms under Real Environmental ConditionsDURUSU, A.   , NAKIR, I. , AJDER, A. , AYAZ, R. , AKCA, H. , TANRIOVEN, M. |
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Author keywords
maximum power point trackers, outdoor conditions, performance evaluation, photovoltaic system
References keywords
power(16), photovoltaic(12), energy(12), tracking(11), maximum(11), point(9), solar(8), techniques(5), system(5), systems(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2014-08-31
Volume 14, Issue 3, Year 2014, On page(s): 89 - 94
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.03011
Web of Science Accession Number: 000340869800011
SCOPUS ID: 84907362888
Abstract
Maximum power point trackers (MPPTs) play an essential role in extracting power from photovoltaic (PV) panels as they make the solar panels to operate at the maximum power point (MPP) whatever the changes of environmental conditions are. For this reason, they take an important place in the increase of PV system efficiency. MPPTs are driven by MPPT algorithms and a number of MPPT algorithms are proposed in the literature. The comparison of the MPPT algorithms in literature are made by a sun simulator based test system under laboratory conditions for short durations. However, in this study, the performances of four most commonly used MPPT algorithms are compared under real environmental conditions for longer periods. A dual identical experimental setup is designed to make a comparison between two the considered MPPT algorithms as synchronized. As a result of this study, the ranking among these algorithms are presented and the results show that Incremental Conductance (IC) algorithm gives the best performance. |
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[1] A New MPPT Algorithm for Vehicle Integrated Solar Energy System, Nakir, Ismail, Durusu, Ali, Akca, Hakan, Ajder, Ali, Ayaz, Ramazan, Ugur, Enes, Tanrioven, Mugdesem, Journal of Energy Resources Technology, ISSN 0195-0738, Issue 2, Volume 138, 2016.
Digital Object Identifier: 10.1115/1.4031943 [CrossRef]
[2] An improved regression‐based perturb and observation global maximum power point tracker methods, Gundogdu, Hasan, Demirci, Alpaslan, Tercan, Said Mirza, Durusu, Ali, IET Renewable Power Generation, ISSN 1752-1416, Issue 9-10, Volume 18, 2024.
Digital Object Identifier: 10.1049/rpg2.13017 [CrossRef]
[3] Parameter Improved Particle Swarm Optimization Based Direct-Current Vector Control Strategy for Solar PV System, NAMMALVAR, P., RAMKUMAR, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 18, 2018.
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[4] Genetically Optimization of an Asymmetrical Fuzzy Logic Based Photovoltaic Maximum Power Point Tracking Controller, AL-GIZI, A., AL-CHLAIHAWI, S., LOUZAZNI, M., CRACIUNESCU, A., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 17, 2017.
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[5] Smart Sag Detection and Reactive Current Injection Control for a PV Microgrid under Voltage Faults, Khan, Muhammad Affan, Kim, Jaehong, Energies, ISSN 1996-1073, Issue 19, Volume 16, 2023.
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[6] Low voltage ride-through capability control for single-stage inverter-based grid-connected photovoltaic power plant, Al-Shetwi, Ali Q., Sujod, Muhamad Zahim, Blaabjerg, Frede, Solar Energy, ISSN 0038-092X, Issue , 2018.
Digital Object Identifier: 10.1016/j.solener.2017.11.027 [CrossRef]
[7] Comparative study of the reliability of MPPT algorithms for the crystalline silicon photovoltaic modules in variable weather conditions, Dandoussou, Abraham, Kamta, Martin, Bitjoka, Laurent, Wira, Patrice, Kuitché, Alexis, Journal of Electrical Systems and Information Technology, ISSN 2314-7172, Issue 1, Volume 4, 2017.
Digital Object Identifier: 10.1016/j.jesit.2016.08.008 [CrossRef]
[8] ADRC Control for a Single-Stage Photovoltaic System Connected to the Three-Phase Electrical Grid, Boukhriss, Ali, 2022 IEEE Workshop on Complexity in Engineering (COMPENG), ISBN 978-1-7281-7124-1, 2022.
Digital Object Identifier: 10.1109/COMPENG50184.2022.9905462 [CrossRef]
[9] Simulink test bench for a hybrid battery-supercapacitor power system, Grama, Alin, Patarau, Toma, Etz, Radu, Petreus, Dorin, 2014 IEEE 20th International Symposium for Design and Technology in Electronic Packaging (SIITME), ISBN 978-1-4799-6962-3, 2014.
Digital Object Identifier: 10.1109/SIITME.2014.6967016 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
