Recent Developments in Electrical and Electronics Engineering: Select Proceedings of ICRDEEE 2022

by Poonam Singhal (Editor), Sakshi Kalra (Editor), Bhim Singh (Editor), R. C. Bansal (Editor)

Overview

This book contains cutting-edge research content presented by researchers, engineers, developers, and practitioners from academia and industry at the International Conference on Recent Developments in Electrical and Electronics Engineering (ICRDEEE 2022). The materials in the book include theory and applications for different areas of Electrical and Electronics Engineering. The topics covered include power systems and protection, energy, electric vehicles, smart grid, semiconductor technologies, electrical machines and drives, control systems with artificial intelligence, etc. The content is useful for researchers, professionals, and academicians in understanding current research trends, findings, and future scope of research in electrical and electronics engineering models.

Product Details

ISBN-13:	9789811979934
Publisher:	Springer-Verlag New York, LLC
Publication date:	04/28/2023
Series:	Lecture Notes in Electrical Engineering , #979
Sold by:	Barnes & Noble
Format:	eBook
File size:	116 MB
Note:	This product may take a few minutes to download.

About the Author

Poonam Singhal is a professor and chairperson in the Department of Electrical Engineering, J.C. Bose University of Science and Technology, YMCA, Faridabad. She obtained her B.Sc. from REC Rourkela, M.Tech. from YMCAIE, Faridabad, and Ph.D. from J.C. Bose University of Science and Technology, YMCA, Faridabad. Her areas of interest include power systems, FACTS, AI, and microgrids. She has over 30 years of teaching experience.
Sakshi Kalra is an assistant professor in the Department of Electrical Engineering, J.C. Bose University of Science and Technology, YMCA, Faridabad. She obtained her B.E. in instrumentation and control engineering, M.Tech. in power systems and drives, and Ph.D. from Maharishi Dayanand University, Rohtak. Her areas of interest include power systems and drives, control systems, AI, and microgrids. She has over 15 years of teaching experience with several papers published in reputed journals and conferences.
Bhim Singh received his B.E. from the University of Roorkee, India, in 1977 and M.Tech. (Power Apparatus&Systems) and Ph.D. from the Indian Institute of Technology (IIT) Delhi, India, in 1979 and 1983, respectively. Prof. Singh is also a member of Governing Council of Central Power Research Institute. Prof. Singh has guided 101 Ph.D. dissertations and 171 M.E./M.Tech./M.S.(R) theses. He has filed 94 patents. He has executed more than eighty sponsored and consultancy projects. He has co-authored a textbook on power quality: Power Quality Problems and Mitigation Techniques published by John Wiley&Sons Ltd. in 2015. His areas of interest include solar PV grid interface systems, microgrids, power quality monitoring, and mitigation, solar PV water pumping systems, improved power quality ACDC converters, power electronics, electrical machines, drives, flexible alternating transmission systems, and high-voltage direct current systems.
R. C. Bansal is a professor in the Department of Electrical Engineering, University of Sharjah. He obtained his Ph.D. degree in renewable energy/power systems, M.E. in power systems, MBA, Grad Cert in Higher Ed (GCHE). His research areas are renewable energy and conventional power systems that further include wind, photovoltaics, hybrid power systems, distributed generation, grid integration of renewable energy, power systems analysis, smart grid, and power quality. He has 25+ years of experience in academia, research, and industry. He has over 350 publications in reputed journals, conferences, and edited volumes.

Table of Contents

Design and Implementation of Fractional Order PID Controller for Magnetic Levitation System Using Genetic Algorithm Based Optimization.- Spin Transfer Torque MRAM with Emerging Sensing Techniques.- Optimum Design of Controller Parameters for Automatic Generation Control Employing Hybrid Statistically Tracked Particle Swarm Optimization Algorithm.- A Comparative PWM Analysis of MMC.- An analytical study to evaluate the performance of PV configurations under partial shading conditions.