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.

中文翻译：

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具有IoT功能的高效智能太阳能充电控制器，具有最大功率点跟踪功能-设计，硬件实施和性能测试

在对太阳能光伏（PV）能量的需求不断增长的情况下，由于环境条件的间歇性，PV面板/电池的输出无法向负载提供最大功率。因此，利用最大功率点跟踪（MPPT）对于光伏系统至关重要。本文设计并实现了一种新型的配备物联网（IoT）的MPPT太阳能控制器（SCC）。拟议的电路系统利用基于IoT的传感器将重要数据发送到云，以进行远程监视和控制。物联网平台可帮助系统进行远程监控。PIC16F877A除了实现了扰动和观察（P＆O）技术和定制的降压-升压转换器外，还用作拟议的MPPT-SCC的主控制器。为了验证提议的系统，仿真和硬件实现分别由MATLAB / SIMULINK环境和实验室设置完成。建议的MPPT-SCC在12 V电压下可以处理10 A的最大电流。结果表明，在性能测试持续一个月的时间内，所提出系统的效率高达99.74％。