ABSTRACT
The study "Solar Inverter System Monitoring Using Digital Control" delves into the design, implementation, and evaluation of a comprehensive solar photovoltaic (PV) monitoring and controlling system. The methodology encompasses the development of key system components, including the Photovoltaic Panel Block, DC-DC Buck Converter Block, Microcontroller Block, and various sensors for monitoring temperature, voltage, current, and luminosity. Through meticulous design considerations and electronic design rules, each block is discussed in detail, highlighting its technical specifications, functionality, and interconnections within the system architecture. Leveraging IoT technology, the system facilitates remote monitoring and control of the PV system, enabling real-time data collection, analysis, and optimization. In testing the system's efficiency, the study conducted rigorous experimentation by connecting the device to a 180Watt solar panel over an 8-hour period, using an AC 220V, 50Hz, 5-watt bulb as the load. Through this testing, the system's ability to accurately monitor and control various parameters such as temperature, voltage, current, luminosity, and power output was evaluated. The results, displayed graphically and tabulated, demonstrate the system's effectiveness in capturing real-time data and its correlation with environmental factors and load conditions. Findings indicate the system's potential to predict and optimize solar PV module performance, enhancing overall energy generation and efficiency. Recommendations emphasize the importance of regular monitoring and maintenance, leveraging cloud-based solutions, optimizing module performance, enhancing remote access and control capabilities, and extending monitoring to large-scale solar plants for industrial and commercial applications.
