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Erscheint vorauss. 3. Juli 2024
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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…mehr

Produktbeschreibung
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.
Autorenporträt
Mohammed Aslam Husain, PhD is an assistant professor in the Department of Electrical Engineering, Rajkiya Engineering College, Ambedkar Nagar, India. He is a senior member of the Institute of Electrical and Electronics Engineers, as well as an associate editor of a reputed journal with a vast experience in reviewing and publishing research articles. He has received external funding for research projects in the areas of renewable power generation, PV-Maximum power point trackers, hybrid and electric vehicles, power electronics, smart and micro grids, and electrical drives. 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 an assistant professor in the Division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, Dwarka Delhi, India, 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 research papers, nine books, and thirteen chapters.