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.

Authors

Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/csitss64042.2024.10816808
Citations
1
Primary Topic
Mechatronics Education and Applications
Type
article
Field-Weighted Citation Impact
0.21
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article

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

Sushmita Sarkar, Mukund Ankit
1 citations
Mechatronics Education and Applications
0.21
article

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

Sushmita Sarkar, Mukund Ankit
article en
1 citations

Abstract

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.

Affordable and clean energy
Openalex Percentile: Top 48%
Mechatronics Education and Applications
0.21
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Development of Mobile Application for Monitoring and Fault Diagnosis of Standalone Photovoltaic Systems — Sushmita Sarkar, Mukund Ankit · (2024) | TGRS Research Map | TGRS