Integration of Fault Notification Mechanism for IoT-based Photovoltaic Panel Monitoring and Analysis System

Abstract

The necessity of fault detection and notification has been exploited by the growth of renewable energy systems. The application of fault detection and notification is seen as an effective tool to monitor the performance of renewable energy systems. Looking at the importance of fault detection and notification integration into renewable energy systems based on the conducted literature review, this paper presents fault notification mechanism and implementation, which also consist of detection in an IoT-based photovoltaic panel monitoring and analysis system. The implemented fault notification detects the abnormalities of the voltage-current-temperature in the IoT-based photovoltaic panel monitoring and analysis system. The implemented fault notification in the IoT-based photovoltaic panel monitoring and analysis detects and notify any sort of abnormality of the voltage-current-temperature that is recorded at the photovoltaic panel. The implemented fault notification operates based on the threshold values of the voltage-current-temperature that has been programmed in the centralised controller. Hence, when any parameter input is below the preset threshold value, an email notification is sent to the centralised system to notify the maintenance team. Based on the implementation and obtained results, the implemented fault notification in the developed IoT-based photovoltaic panel monitoring and analysis system successfully performed and validated the purpose of the implementation.