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Iot-enabled high efficiency smart solar charge controller with maximum power point tracking�design, hardware implementation and performance testing

Amid growing demand for solar photovoltaic (PV) energy, the output from PV panels/cells fails to deliver maximum power to the load, due to the intermittency of ambient conditions. Therefore, utilizing maximum power point tracking (MPPT) becomes essential for PV systems. In this paper, a novel intern...

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Main Authors: Rokonuzzaman M., Shakeri M., Hamid F.A., Mishu M.K., Pasupuleti J., Rahman K.S., Tiong S.K., Amin N.
Other Authors: 57190566039
Format: Article
Published: MDPI AG 2023
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spelling my.uniten.dspace-253662023-05-29T16:08:35Z Iot-enabled high efficiency smart solar charge controller with maximum power point tracking�design, hardware implementation and performance testing Rokonuzzaman M. Shakeri M. Hamid F.A. Mishu M.K. Pasupuleti J. Rahman K.S. Tiong S.K. Amin N. 57190566039 55433849200 6603573875 57192669693 11340187300 56348138800 15128307800 7102424614 Amid growing demand for solar photovoltaic (PV) energy, the output from PV panels/cells fails to deliver maximum power to the load, due to the intermittency of ambient conditions. Therefore, utilizing maximum power point tracking (MPPT) becomes essential for PV systems. In this paper, a novel internet of things (IoT)-equipped MPPT solar charge controller (SCC) is designed and implemented. The proposed circuit system utilizes IoT-based sensors to send vital data to the cloud for remote monitoring and controlling purposes. The IoT platform helps the system to be monitored remotely. The PIC16F877A is used as a main controller of the proposed MPPT-SCC besides implementing the perturb and observe (P&O) technique and a customized buck�boost converter. To validate the proposed system, both simulation and hardware implementation are carried out by the MATLAB/SIMULINK environment and laboratory set up, respectively. The proposed MPPT-SCC can handle the maximum current of 10 A at 12 V voltage. Results show that the efficiency of the proposed system reaches up to 99.74% during a month of performance testing duration. � 2020 by the authors. Licensee MDPI, Basel, Switzerland. Final 2023-05-29T08:08:35Z 2023-05-29T08:08:35Z 2020 Article 10.3390/electronics9081267 2-s2.0-85090368961 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090368961&doi=10.3390%2felectronics9081267&partnerID=40&md5=80f547b4858a4b7b460be6d2e47a3162 https://irepository.uniten.edu.my/handle/123456789/25366 9 8 1267 1 16 All Open Access, Gold MDPI AG Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Amid growing demand for solar photovoltaic (PV) energy, the output from PV panels/cells fails to deliver maximum power to the load, due to the intermittency of ambient conditions. Therefore, utilizing maximum power point tracking (MPPT) becomes essential for PV systems. In this paper, a novel internet of things (IoT)-equipped MPPT solar charge controller (SCC) is designed and implemented. The proposed circuit system utilizes IoT-based sensors to send vital data to the cloud for remote monitoring and controlling purposes. The IoT platform helps the system to be monitored remotely. The PIC16F877A is used as a main controller of the proposed MPPT-SCC besides implementing the perturb and observe (P&O) technique and a customized buck�boost converter. To validate the proposed system, both simulation and hardware implementation are carried out by the MATLAB/SIMULINK environment and laboratory set up, respectively. The proposed MPPT-SCC can handle the maximum current of 10 A at 12 V voltage. Results show that the efficiency of the proposed system reaches up to 99.74% during a month of performance testing duration. � 2020 by the authors. Licensee MDPI, Basel, Switzerland.
author2 57190566039
author_facet 57190566039
Rokonuzzaman M.
Shakeri M.
Hamid F.A.
Mishu M.K.
Pasupuleti J.
Rahman K.S.
Tiong S.K.
Amin N.
format Article
author Rokonuzzaman M.
Shakeri M.
Hamid F.A.
Mishu M.K.
Pasupuleti J.
Rahman K.S.
Tiong S.K.
Amin N.
spellingShingle Rokonuzzaman M.
Shakeri M.
Hamid F.A.
Mishu M.K.
Pasupuleti J.
Rahman K.S.
Tiong S.K.
Amin N.
Iot-enabled high efficiency smart solar charge controller with maximum power point tracking�design, hardware implementation and performance testing
author_sort Rokonuzzaman M.
title Iot-enabled high efficiency smart solar charge controller with maximum power point tracking�design, hardware implementation and performance testing
title_short Iot-enabled high efficiency smart solar charge controller with maximum power point tracking�design, hardware implementation and performance testing
title_full Iot-enabled high efficiency smart solar charge controller with maximum power point tracking�design, hardware implementation and performance testing
title_fullStr Iot-enabled high efficiency smart solar charge controller with maximum power point tracking�design, hardware implementation and performance testing
title_full_unstemmed Iot-enabled high efficiency smart solar charge controller with maximum power point tracking�design, hardware implementation and performance testing
title_sort iot-enabled high efficiency smart solar charge controller with maximum power point tracking�design, hardware implementation and performance testing
publisher MDPI AG
publishDate 2023
_version_ 1806423238460309504
score 13.226497

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