Solar PV Module Fault Classification using Artificial Intelligence and Machine Learning Techniques

Solar PV Module Fault Classification using Artificial Intelligence and Machine Learning Techniques

Registration ID: IJNRD_185794

Published ID: IJNRD2301123

DOI: Click Here to Get

Jitamitra Mohanty , Itun Sarangi , Jagadish Chandra Pati

Fault analysis in solar photovoltaic (PV) arrays is essential to increase reliability, and improve efficiency and safety in PV systems. Conventional fault protection methods are usually employed to overcome the challenge however conventional protection is only effective in isolating faulty circuits in time of large current flow and remains inactive in case of low fault currents and may cause problems in long run. The model of the different faults emulates the different PV fault conditions which are essential for a healthy PV power system analysis. The model is a solution to classify the potential faults during fault conditions to cut down on the time and cost invested in fault analysis through human analysis. The model is achieved through the use of Artificial Intelligence and Machine learning techniques. The model performance is matched along with specified vectors to check the accuracy using the confusion matrix to ensure good performance in the design. The simulated results determined that the fault diagnosis scheme can correctly classify faults with high efficiency making the power plant troubleshooting process easier. The entire plant characteristics are got from the fed data and the model is trained to capture the entire system behaviour for future instance classification

Published Paper   E-Certificate

"Solar PV Module Fault Classification using Artificial Intelligence and Machine Learning Techniques", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 1, page no.b170-b187, January-2023, Available :https://ijnrd.org/papers/IJNRD2301123.pdf

Volume 8 Issue 1, January-2023

Pages : b170-b187

Paper Reg. ID: IJNRD_185794

Published Paper Id: IJNRD2301123

Downloads: 000121141

Research Area: Electrical Engineering 

Country: Puri, Odisha, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2301123.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301123

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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