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: Md. Rokonuzzaman, Mohammad Shakeri, Fazrena Azlee Hamid, Mahmuda Khatun Mishu, Jagadeesh Pasupuleti, Kazi Sajedur Rahman, Sieh Kiong Tiong, Nowshad Amin
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Electronics
Subjects:
O)
Online Access:https://www.mdpi.com/2079-9292/9/8/1267
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spelling doaj-e03daa8e66d344959d9215c36c9de21e2020-11-25T03:52:52ZengMDPI AGElectronics2079-92922020-08-0191267126710.3390/electronics9081267IoT-Enabled High Efficiency Smart Solar Charge Controller with Maximum Power Point Tracking—Design, Hardware Implementation and Performance TestingMd. Rokonuzzaman0Mohammad Shakeri1Fazrena Azlee Hamid2Mahmuda Khatun Mishu3Jagadeesh Pasupuleti4Kazi Sajedur Rahman5Sieh Kiong Tiong6Nowshad Amin7Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional (@The National Energy University), Jalan IKRAM-UNITEN, Kajang 43000, Selangor, MalaysiaInstitute of Sustainable Energy (ISE), Universiti Tenaga Nasional (@The National Energy University), Jalan IKRAM-UNITEN, Kajang 43000, Selangor, MalaysiaCollege of Engineering (COE), Universiti Tenaga Nasional (@The National Energy University), Jalan IKRAM-UNITEN, Kajang 43000, Selangor, MalaysiaInstitute of Sustainable Energy (ISE), Universiti Tenaga Nasional (@The National Energy University), Jalan IKRAM-UNITEN, Kajang 43000, Selangor, MalaysiaInstitute of Sustainable Energy (ISE), Universiti Tenaga Nasional (@The National Energy University), Jalan IKRAM-UNITEN, Kajang 43000, Selangor, MalaysiaSolar Energy Research Institute, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, MalaysiaInstitute of Sustainable Energy (ISE), Universiti Tenaga Nasional (@The National Energy University), Jalan IKRAM-UNITEN, Kajang 43000, Selangor, MalaysiaInstitute of Sustainable Energy (ISE), Universiti Tenaga Nasional (@The National Energy University), Jalan IKRAM-UNITEN, Kajang 43000, Selangor, MalaysiaAmid 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.https://www.mdpi.com/2079-9292/9/8/1267internet of things (IoT)MPPT charge controllersolar charge controller (SCC)perturb and observe (P&ampO)microcontroller-based SCC
collection DOAJ
language English
format Article
sources DOAJ
author Md. Rokonuzzaman
Mohammad Shakeri
Fazrena Azlee Hamid
Mahmuda Khatun Mishu
Jagadeesh Pasupuleti
Kazi Sajedur Rahman
Sieh Kiong Tiong
Nowshad Amin
spellingShingle Md. Rokonuzzaman
Mohammad Shakeri
Fazrena Azlee Hamid
Mahmuda Khatun Mishu
Jagadeesh Pasupuleti
Kazi Sajedur Rahman
Sieh Kiong Tiong
Nowshad Amin
IoT-Enabled High Efficiency Smart Solar Charge Controller with Maximum Power Point Tracking—Design, Hardware Implementation and Performance Testing
Electronics
internet of things (IoT)
MPPT charge controller
solar charge controller (SCC)
perturb and observe (P&amp
O)
microcontroller-based SCC
author_facet Md. Rokonuzzaman
Mohammad Shakeri
Fazrena Azlee Hamid
Mahmuda Khatun Mishu
Jagadeesh Pasupuleti
Kazi Sajedur Rahman
Sieh Kiong Tiong
Nowshad Amin
author_sort Md. Rokonuzzaman
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
series Electronics
issn 2079-9292
publishDate 2020-08-01
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.
topic internet of things (IoT)
MPPT charge controller
solar charge controller (SCC)
perturb and observe (P&amp
O)
microcontroller-based SCC
url https://www.mdpi.com/2079-9292/9/8/1267
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