IoT-Enabled Hysteresis Control System for Enhanced Photovoltaic Panel Performance in Rural Solar Applications

The rising demand for effective solar energy use in rural regions requires sophisticated control systems for photovoltaic (PV) installations. This research investigates the development of IoT-enabled hysteresis control system to im-prove the performance of photovoltaic panels by reducing the switching speed and stabilizing energy output with respect to energy output. The system leverages advances in the Internet of Things (IoT) and cloud computing, incorporating aspects such as real-time monitoring, sensor networks, and cloud-based data analytics. Experimental validation encompasses controlled laboratory testing under simulated sunshine circumstances and field experiments in rural settings. Key performance parameters, including energy yield, response time, and stability, are evaluated by comparison analyses with traditional PV controllers. The results indicate greater solar tracking precision, diminished power fluctuations, and increased system autonomy. This study advances intelligent renewable energy solutions by providing a scalable and economical method for rural electrification.