Fault detection system and smart power utilization using iot monitoring for photovoltaic system

Azim, Afi and Abu Hassan, Omar and Zambri, Nor Aira and Zulkifli, Shamsul Aizam (2024) Fault detection system and smart power utilization using iot monitoring for photovoltaic system. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON GREEN ENGINEERING & TECHNOLOGY 2022 (ICONGETECH 2022).

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Abstract

Solar photovoltaic (PV) systems are the most widely renewable technologies used to generate power. In this paper, smart monitoring and fault detection on the off-grid solar system is proposed and designed to improve the solar PV system's operation more effectively. Environmental conditions, equipment interference, and changes in existing parameters normally cause problems in the system. A real-time monitoring system is required to monitor the performance of the solar PV system circuit. The internet of things (IoT) is used in this project to directly observe the energy in the system via an application platform. Also, this paper discussed solar PV system faults detection based on the difference in voltage and current values measured during usual and unusual periods based on parameters value. This project will reduce the time and effect in searching for faults in the solar system. The results show several categories, including open circuits and short circuits, are classified as faults in this system. In general, the fault detection system and smart power utilization using IoT monitoring for the photovoltaic system is the focus of this project's development

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering Technology > FTK
Depositing User:	Mrs. Sabarina Che Mat
Date Deposited:	09 Jan 2025 08:07
Last Modified:	09 Jan 2025 08:08
URI:	http://eprints.uthm.edu.my/id/eprint/11936

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