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Novel TPPO Based Maximum Power Point Method for Photovoltaic SystemABBASI, M. A. , ZIA, M. F. |
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Author keywords
DC-DC power converters, maximum power point trackers, photovoltaic cells, solar energy, solar power generation
References keywords
optimization(18), algorithm(18), artificial(13), colony(12), comput(8), jasoc(6), swarm(5), soft(5), search(5), jins(5)
No common words between the references section and the paper title.
About this article
Date of Publication: 2017-08-31
Volume 17, Issue 3, Year 2017, On page(s): 95 - 100
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.03012
Web of Science Accession Number: 000410369500012
SCOPUS ID: 85028570193
Abstract
Photovoltaic (PV) system has a great potential and it is installed more when compared with other renewable energy sources nowadays. However, the PV system cannot perform optimally due to its solid reliance on climate conditions. Due to this dependency, PV system does not operate at its maximum power point (MPP). Many MPP tracking methods have been proposed for this purpose. One of these is the Perturb and Observe Method (P&O) which is the most famous due to its simplicity, less cost and fast track. But it deviates from MPP in continuously changing weather conditions, especially in rapidly changing irradiance conditions. A new Maximum Power Point Tracking (MPPT) method, Tetra Point Perturb and Observe (TPPO), has been proposed to improve PV system performance in changing irradiance conditions and the effects on characteristic curves of PV array module due to varying irradiance are delineated. The Proposed MPPT method has shown better results in increasing the efficiency of a PV system. |
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Digital Object Identifier: 10.3390/electronics11091502 [CrossRef]
[2] Selective Harmonic Elimination in a Cascaded Multilevel Inverter of Distributed Power Generators Using Water Cycle Algorithm, Khizer, Muhammad, Shami, Umar T., Zia, Muhammad Fahad, Amirat, Yassine, Benbouzid, Mohamed, Machines, ISSN 2075-1702, Issue 5, Volume 10, 2022.
Digital Object Identifier: 10.3390/machines10050399 [CrossRef]
[3] Energy management system for a hybrid PV-Wind-Tidal-Battery-based islanded DC microgrid: Modeling and experimental validation, Zia, Muhammad Fahad, Nasir, Mashood, Elbouchikhi, Elhoussin, Benbouzid, Mohamed, Vasquez, Juan C., Guerrero, Josep M., Renewable and Sustainable Energy Reviews, ISSN 1364-0321, Issue , 2022.
Digital Object Identifier: 10.1016/j.rser.2022.112093 [CrossRef]
[4] Network communication monitoring system of distributed PV power generation system, Zhu, Huimin, Yuan, Shun, Li, Chunlai, International Journal of Communication Systems, ISSN 1074-5351, Issue 5, Volume 35, 2022.
Digital Object Identifier: 10.1002/dac.4517 [CrossRef]
[5] Design and Concept of an Energy System Based on Renewable Sources for Greenhouse Sustainable Agriculture, Aschilean, Ioan, Rasoi, Gabriel, Raboaca, Maria Simona, Filote, Constantin, Culcer, Mihai, Energies, ISSN 1996-1073, Issue 5, Volume 11, 2018.
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[6] Detecting Malicious Nodes in IoT Networks Using Machine Learning and Artificial Neural Networks, Liyakat, Kazi Kutubuddin Sayyad, 2023 International Conference on Emerging Smart Computing and Informatics (ESCI), ISBN 978-1-6654-7524-2, 2023.
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[8] Computational Optimization of Energy Storage System in Managing Distribution Feeder Overloading, Zia, Muhammad Fahad, Inayat, Usman, Mahmood, Sajid, Harris, Ali, 2021 International Conference on Innovative Computing (ICIC), ISBN 978-1-6654-0091-6, 2021.
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[9] A Comparison of Optimization Techniques for Energy Scheduling of Hybrid Power Generation System, Zafar, Abdullah, Shafique, Amish, Nazir, Zunaira, Zia, Muhammad Fahad, 2018 IEEE 21st International Multi-Topic Conference (INMIC), ISBN 978-1-5386-7536-6, 2018.
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[10] A Regularization-Based Long Short-Term Memory Architecture Design for Solar Irradiance Prediction, Asghar, Ehtisham, Hill, Martin, Lynch, Conor, 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), ISBN 978-1-6654-7087-2, 2022.
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[11] A survey on computational parametric analysis of incompressible nanofluids applications in solar energy systems, Inayat, Usman, Iqbal, Shaukat, Manzoor, Tareq, 2021 International Conference on Innovative Computing (ICIC), ISBN 978-1-6654-0091-6, 2021.
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[12] Energy Management System for an Islanded Renewables-based DC Microgrid, Zia, Muhammad Fahad, Nasir, Mashood, Elbouchikhi, Elhoussin, Benbouzid, Mohamed, Vasquez, Juan C., Guerrero, Josep M., 2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES), ISBN 978-1-7281-6611-7, 2020.
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Stefan cel Mare University of Suceava, Romania
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