Photovoltaic Systems: Artificial Intelligence-based Fault Diagnosis and Predictive Maintenance
K.Mohana Sundaram, KPR Institute of Engineering and Technology;
Sanjeevikumar Padmanaban, University of South-Eastern Norway;
P. Pandiyan, KPR Institute of Engineering and Technology
CRC Press, Inc., 2022
ISBN: 9781032064260;
Language: English
Photovoltaic Systems provides comprehensive insight into the fault detection techniques implemented for photovoltaic (PV) panels. It includes studies related to predictive maintenance needed to improve the performance of the solar PV systems using Artificial Intelligence (AI) techniques. The readers gain knowledge on the fault identification algorithm and the significance of all such algorithms in real-time power system applications.
Gives detailed overview of fundamental concepts of fault diagnosis algorithm for solar PV system
Explains AC and DC side of the solar PV system-based electricity generation with real-time examples
Covers effective extraction of the energy from solar radiation
Illustrates artificial intelligence techniques for detecting the faults occurring in the solar PV system
Includes MATLAB based simulations and results on fault diagnosis including case studies
This book is aimed at researchers, professionals and graduate students in electrical engineering, artificial intelligence, control algorithms, energy engineering, photovoltaic systems, industrial electronics.
