IoT-Enabled High Efficiency Smart Solar Charge Controller with Maximum Power Point Tracking-Design, Hardware Implementation and Performance Testing

被引：15
|
作者：
Rokonuzzaman, Md. [1 ,2 ]
Shakeri, Mohammad [1 ]
Hamid, Fazrena Azlee [2 ]
Mishu, Mahmuda Khatun [1 ,2 ]
Pasupuleti, Jagadeesh [1 ]
Rahman, Kazi Sajedur [3 ]
Tiong, Sieh Kiong [1 ]
Amin, Nowshad [1 ]
机构：
[1] Natl Energy Univ, Inst Sustainable Energy ISE, Jalan IKRAM UNITEN, Kajang 43000, Selangor, Malaysia
[2] Natl Energy Univ, Coll Engn COE, Jalan IKRAM UNITEN, Kajang 43000, Selangor, Malaysia
[3] Univ Kebangsaan Malaysia, Solar Energy Res Inst, Bangi 43600, Selangor, Malaysia
来源：
ELECTRONICS | 2020年 / 9卷 / 08期
关键词：
internet of things (IoT); MPPT charge controller; solar charge controller (SCC); perturb and observe (P&O); microcontroller-based SCC; MATLAB; SIMULINK; PV system; INCREMENTAL CONDUCTANCE MPPT; FUZZY-LOGIC; PV SYSTEM; ALGORITHM; ARCHITECTURE; SIMULATION; PERTURB; HEMS;
D O I：
10.3390/electronics9081267
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1 / 16
页数：16
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