Development of Mobile Application for Monitoring and Fault Diagnosis of Standalone Photovoltaic Systems

Photovoltaic (PV) systems are becoming a popular renewable energy source for electricity generation. Standalone PV systems are increasingly being adopted as an alternative to traditional grid power, especially by environmentally con- scious consumers. To ensure the reliability and efficiency of these systems, effective tools for real-time monitoring and fault detection are essential. This paper presents an Android-based mobile application designed for monitoring and diagnosing faults in standalone PV systems. The app tracks key system parameters such as voltage, current, solar irradiance, and temperature, using sensors like the ACS712 and DHT11. Data is processed in real time via the ThingSpeak IoT platform, which enables remote monitoring and data storage. A neural network classifier analyses four critical power parameters (from the panel, DC-DC converter, battery, and inverter) to identify system faults. The app generates fault reports that can be shared with maintenance personnel for timely action. By integrating real-time data access and intelligent fault diagnosis, the app significantly improves the performance and safety of standalone PV systems.