Photovoltaic Systems: Artificial Intelligence-based Fault Diagnosis and Predictive Maintenance

This book provides comprehensive insight into the fault detection techniques implemented for photovoltaic (PV) panels, including studies related to predictive maintenance using Artificial Intelligence (AI) techniques. It covers effective extraction of energy from solar radiation, artificial intelligence techniques for detecting faults, and MATLAB®-based simulations and results on fault diagnosis. It is aimed at researchers, professionals, and graduate students in electrical engineering, artificial intelligence, control algorithms, energy engineering, photovoltaic systems, and industrial electronics.

Format: Hardback
Length: 140 pages
Publication date: 07 March 2022
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the diverse fault detection techniques employed for photovoltaic (PV) panels. It encompasses a wide range of studies focused on enhancing the performance of solar PV systems through the application of Artificial Intelligence (AI) techniques. The readers gain profound insights into fault identification algorithms and their crucial significance in real-time power system applications.

The book begins by providing a detailed overview of fundamental concepts related to fault diagnosis algorithms for solar PV systems. It explains the AC and DC sides of the solar PV system, showcasing how electricity is generated through the conversion of solar radiation. Real-time examples are used to illustrate the key principles and processes involved in solar energy generation.

Furthermore, the book delves into effective methods for extracting energy from solar radiation. It discusses various techniques, such as maximum power point tracking (MPPT) and power conditioning, that are employed to optimize the efficiency of solar PV systems. The authors also provide illustrative examples and case studies to reinforce the understanding of these concepts.

In addition to the theoretical aspects, the book incorporates practical insights through the use of MATLAB®-based simulations and results on fault diagnosis, including case studies. These simulations enable readers to gain hands-on experience with the algorithms and techniques discussed in the book, further enhancing their understanding and application.

This book is designed to cater to a wide audience, including researchers, professionals, and graduate students in electrical engineering, artificial intelligence, control algorithms, energy engineering, photovoltaic systems, industrial electronics, and related fields. It serves as a valuable resource for those seeking to advance their knowledge and expertise in fault detection and diagnosis for solar PV systems, enabling them to contribute to the development of sustainable and efficient renewable energy technologies.

Weight: 364g
Dimension: 162 x 240 x 15 (mm)
ISBN-13: 9781032064260