REAL-TIME MONITORING AND FAULT DETECTION SYSTEM FOR SOLAR PHOTOVOLTAIC POWER PLANTS BASED ON IOT AND DATA ANALYTICS

Abstract

Among renewable energy sources, solar energy is considered an important resource that enables environmentally friendly and sustainable energy generation. The efficient operation of solar photovoltaic power plants largely depends on continuous monitoring of their technical condition. In this study, a real-time monitoring system based on Internet of Things (IoT) technology is developed, and a fault detection method based on data analytics is proposed. Sensors are used to measure key parameters of solar panels, including voltage, current, power output, temperature, and solar irradiance. The collected data are transmitted through an IoT network to a cloud server, where they are analyzed using mathematical models and analytical algorithms. The results of the study demonstrate that the proposed system can significantly improve energy production efficiency and enable early detection of system faults.