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

Md Rokonuzzaman; Mohammad Shakeri; Fazrena Azlee Hamid; Mahmuda Khatun Mishu; Jagadeesh Pasupuleti; Kazi Sajedur Rahman; Sieh Kiong Tiong; Nowshad Amin

doi:10.3390/electronics9081267

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

Md Rokonuzzaman^*, Mohammad Shakeri, Fazrena Azlee Hamid, Mahmuda Khatun Mishu, Jagadeesh Pasupuleti, Kazi Sajedur Rahman, Sieh Kiong Tiong, Nowshad Amin^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

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.

Original language	English
Article number	1267
Pages (from-to)	1-16
Number of pages	16
Journal	Electronics (Switzerland)
Volume	9
Issue number	8
DOIs	https://doi.org/10.3390/electronics9081267
State	Published - Aug 2020
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

Internet of things (IoT)
MATLAB/SIMULINK
MPPT charge controller
Microcontroller-based SCC
PV system
Perturb and observe (P&O)
Solar charge controller (SCC)

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Hardware and Architecture
Computer Networks and Communications
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/electronics9081267

Cite this

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

abstract = "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.",

keywords = "Internet of things (IoT), MATLAB/SIMULINK, MPPT charge controller, Microcontroller-based SCC, PV system, Perturb and observe (P\&O), Solar charge controller (SCC)",

author = "Md Rokonuzzaman and Mohammad Shakeri and Hamid, \{Fazrena Azlee\} and Mishu, \{Mahmuda Khatun\} and Jagadeesh Pasupuleti and Rahman, \{Kazi Sajedur\} and Tiong, \{Sieh Kiong\} and Nowshad Amin",

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year = "2020",

month = aug,

doi = "10.3390/electronics9081267",

language = "English",

volume = "9",

pages = "1--16",

journal = "Electronics (Switzerland)",

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publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

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TY - JOUR

T1 - Iot-enabled high efficiency smart solar charge controller with maximum power point tracking—design, hardware implementation and performance testing

AU - Rokonuzzaman, Md

AU - Shakeri, Mohammad

AU - Hamid, Fazrena Azlee

AU - Mishu, Mahmuda Khatun

AU - Pasupuleti, Jagadeesh

AU - Rahman, Kazi Sajedur

AU - Tiong, Sieh Kiong

AU - Amin, Nowshad

PY - 2020/8

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N2 - 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.

AB - 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.

KW - Internet of things (IoT)

KW - MATLAB/SIMULINK

KW - MPPT charge controller

KW - Microcontroller-based SCC

KW - PV system

KW - Perturb and observe (P&O)

KW - Solar charge controller (SCC)

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ER -

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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