An IoT-Based System for Fault Detection and Diagnosis in Solar PV Panels

Title

An IoT-Based System for Fault Detection and Diagnosis in Solar PV Panels

Creator

Balakrishnan D.; Raja J.; Rajagopal M.; Sudhakar K.; Janani K.

Description

This abstract describes an IoT-based system for fault detection and diagnosis in solar PV panels. The proposed Fuzzy logic-based fault detection algorithms aims to improve the performance and reliability of solar PV panels, which can be affected by various faults such as shading, soiling, degradation, and electrical faults. The system includes wireless sensor nodes that are deployed on the panels to collect data on their electrical parameters and environmental conditions, such as temperature, irradiance, and humidity. The collected data is then transmitted to a central server for processing and analysis using machine learning algorithms. The system can detect and diagnose faults in real-time, and provide alerts and recommendations to maintenance personnel to take appropriate actions to prevent further damage or downtime. The system has several advantages over traditional manual inspection and maintenance methods, including reduced downtime, lower maintenance costs, and improved energy efficiency. The proposed system has been validated through experimental tests, and the results show that it can accurately detect and diagnose faults in solar PV panels with high reliability and efficiency. 2023 EDP Sciences. All rights reserved.

Source

E3S Web of Conferences, Vol-387

Date

2023-01-01

Publisher

EDP Sciences

Subject

Fault detection; Internet of Things (IoT); Photovoltaic; Solar PV panels

Coverage

Balakrishnan D., Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, Anand Nagar, 626126, India; Raja J., Sri Manakula Vinyagar Engineering College, Pondicherry, Autonomous Institution, Pondicherry University, India; Rajagopal M., CHRIST (Deemed to Be University), Bangalore, India; Sudhakar K., Madanapalle Institute of Technology & Science, Madanapalle, India; Janani K., Dr.N.G.P. Institute of Technology, Coimbatore, India

Rights

All Open Access; Gold Open Access; Green Open Access

Relation

ISSN: 25550403

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1051/e3sconf/202338705009

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160540033&doi=10.1051%2fe3sconf%2f202338705009&partnerID=40&md5=9fee3187b7e10a0b767dd8a6610fd39a