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Recent Applications of Artificial Intelligence in Fault Diagnosis of Photovoltaic Systems

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A Practical Guide for Advanced Methods in Solar Photovoltaic Systems

Part of the book series: Advanced Structured Materials ((STRUCTMAT,volume 128))

Abstract

This chapter presents a brief survey on the recent applications of artificial intelligence (AI) techniques in fault diagnosis of photovoltaic (PV) systems. AI-based methods are mainly used to identify and classify the type of faults that can happen in PV systems, particularly in DC side (PV array). The methods will be presented and discussed in terms of complexity implementation, possible faults detection, identification and localization capability. Faults localization in large-scale PV plants remains  challenging issue, and to date, no AI-based method was applied and verified experimentally, except few methods recently developed based on aerial images (Infrared Thermography) inspection. It is believed that this chapter can help researchers in academic institutions to get an idea regarding the actual application of AI techniques in this topic.

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Acknowledgements

The author would like to thank the Simons Foundation for financial support. A part of this work was carried out at the ICTP, Trieste, Italy.

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Authors and Affiliations

  1. Renewable Energy Laboratory, Faculty of Sciences and Technology, Department of Electronics, Jijel University, Jijel, 18000, Algeria

    A. Mellit

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  1. A. Mellit
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Correspondence to A. Mellit .

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Editors and Affiliations

  1. Renewable Energy Laboratory, University of Jijel, Jijel, Algeria

    Adel Mellit

  2. Faculty of Science, Physics Department, Islamic University, Madinah, Saudi Arabia

    Mohamed Benghanem

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Mellit, A. (2020). Recent Applications of Artificial Intelligence in Fault Diagnosis of Photovoltaic Systems. In: Mellit, A., Benghanem, M. (eds) A Practical Guide for Advanced Methods in Solar Photovoltaic Systems. Advanced Structured Materials, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-030-43473-1_13

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