Photovoltaic Systems Technology (eBook)

MOHAMMED ASLAM HUSAIN, MD Waseem Ahmad, Farhad Ilahi Bakhsh, P. Sanjeevikumar, Hasmat Malik (Herausgeber)

eBook Download: PDF

2024 | 1. Auflage
288 Seiten
John Wiley & Sons (Verlag)
978-1-394-16766-1 (ISBN)

Infos

PHOTOVOLTAIC SYSTEMS TECHNOLOGY

Discover comprehensive insights into the latest advancements in solar PV technology, including power electronics, maximum power point tracking schemes, and forecasting techniques, with a focus on improving the performance of PV systems.

A huge number of research articles and books have been published in the last two decades, covering different issues of PV efficiency, circuits, and systems for power processing and their related control. Books that have been published cover one or more topics but altogether fail to give a complete picture of the different aspects of PV systems. Photovoltaic Systems Technology aims to close the gap by providing a comprehensive review of techniques/practices that are dedicated to improving the performance of PV systems.

The book is divided into three parts: the first part is dedicated to advancements in power electronic converters for PV systems; tools and techniques for maximum power point tracking of PV systems will be covered in the second part of the book; and the third part covers advancements in techniques for solar PV forecasting. The overall focus of the book is to highlight the advancements in modeling, design, performance under faulty conditions, forecasting, and application of solar photovoltaic (PV) systems using metaheuristic, evolutionary computation, machine learning, and AI approaches. It is intended for researchers and engineers aspiring to learn about the latest advancements in solar PV technology with emphasis on power electronics involved, maximum power point tracking (MPPT) schemes, and forecasting techniques.

Autor

Mohammed Aslam Husain, PhD, is an assistant professor in the Department of Electrical Engineering, Rajkiya Engineering College, Ambedkar Nagar, India. He has previously worked as Head of the Electrical Engineering Department at the University Polytechnic, Integral University, India, and as Assistant Professor in the Department of Electrical Engineering at Aligarh Muslim University, India. He was the recipient of the Institution of Engineers (India) Young Engineers Award for 2022-23 and the Young Scientist Award for 2017 from the Council of Science and Technology, Uttar Pradesh, India. He has authored over 60 scientific papers. MD Waseem Ahmad, PhD, is an assistant professor at the National Institute of Technology Karnataka, Surathkal, India. He previously worked as a research fellow in the Department of Electrical and Computer Engineering, National University of Singapore, Singapore, and as a graduate trainee engineer with Siemens Ltd., New Delhi, India. Additionally, he has published more than 20 papers in across various Institute of Electrical and Electronics Engineers journals and conferences. Farhad Ilahi Bakhsh, PhD, is an assistant professor in the Department of Electrical Engineering, National Institute of Technology Srinagar, Jammu and Kashmir, India. He has developed five new systems for grid integration of wind energy, four of which have been patented between India and Australia. He has more than 50 published papers in reputed national and international journals and conferences. Sanjeevikumar Padmanaban, PhD, is a faculty member with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark. He has authored over 300 scientific papers. He is a fellow of the Institution of Engineers, India, the Institution of Electronics and Telecommunication Engineers, India, and the Institution of Engineering and Technology, U.K. Hasmat Malik, PhD, is a Senior Lecturer in the Department of Electrical Power Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Malaysia, as well as a Chartered Engineer (CEng) and a Professional Engineer (PEng). His research findings related to intelligent data analytics, artificial intelligence, and machine learning applications in power systems, power apparatus, smart buildings and automation, smart grid, forecasting, prediction, and renewable energy sources have been widely published in international journals and conferences. He has also authored and co-authored more than 100 WoS research papers.

Produkt-Details

• Erscheint lt. Verlag: 13.5.2024
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Chemie
• Themenwelt: Technik ► Maschinenbau
• Schlagworte: Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Leistungselektronik • Materialien f. Energiesysteme • Materials for Energy Systems • Materials Science • Materialwissenschaften • Power Electronics
• ISBN-10: 1-394-16766-0 / 1394167660
• ISBN-13: 978-1-394-16766-1 / 9781394167661