Overview

Load Frequency Control in Microgrids: Techniques and Tools for the Energy Transition presents the intricate techniques of microgrid frequency control, with a focus on enhancing power quality and facilitating the transition to sustainable energy sources. This multidisciplinary resource equips readers with the tools and insights to implement effective load frequency control in sustainable microgrids. It delves into topics such as modeling components and systems for analysis, designing controllers, effectively utilizing energy storage systems, and addressing cybersecurity challenges specific to microgrid frequency control. Incorporating theoretical foundations, practical examples, and diverse contributor expertise, this book provides a holistic understanding of challenges and opportunities. Including access to Simulink models and code files for practical learning, this book is an indispensable resource for researchers, practitioners, and students seeking to advance sustainable energy systems using microgrids.

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9780443364761

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Yogendra Arya is an Associate Professor at J.C. Bose University of Science and Technology, India. His main areas of research include AI techniques, optimization techniques, fuzzy control, control systems, AGC/LFC in smart grid, energy storage systems, and renewable energy systems. Dr. Arya has published over 50 research papers in reputed international journals and has been included in the “Top 2% of Researchers in the World” from 2020 to 2024 by Stanford University/Elsevier. He received the “Best Associate Editor Award - 2021 to 2024” from the Journal of Electrical Engineering and Technology, (Springer) and is Associate Editor of several SCIE journals, as well as having acted as a Lead Guest Editor for 6 different SCIE journals. He is a Fellow of IETE, Senior Member of IEEE, Associate Member of IE(India), and Life Member of ISTE. Sandeep Dhundhara is a Research Fellow in the College of Engineering, Faculty of Computing, Engineering, and the Built Environment, at Birmingham City University, in the United Kingdom. He was previously Visiting Research Fellow at the University of Nottingham, UK (2017-2018) and an Associate Research Fellow at Birmingham City University, UK (2022-2023). His research interests include solar energy systems, artificial intelligence (AI) applications for power system control and stability, AGC, and electrical energy storage systems. With over 10 years of teaching and research experience in electrical engineering, Dr. Dhundhara has edited 3 books and published several papers in various international journals and conferences. He has acted as guest editor for Sustainable Energy Technologies and Assessments (SCIE journal published by Elsevier) and Neural Computing and Applications (SCI journal published by Springer). He is a Member of IEEE, UACEE, and INAEG. Hany M. Hasanien is a Professor at the Electrical Power and Machines Department of Ain Shams University, Egypt. His research interests include modern control techniques, power systems dynamics and control, energy storage systems, renewable energy systems, and smart grids. Prof. Hasanien is an Editorial Board Member of Electric Power Components and Systems Journal, and is a Subject Editor of IET Renewable Power Generation, Frontiers in Energy Research and Electronics MDPI. He has authored, co-authored, or edited three books in the field of electric machines and renewable energy. He has published more than 250 papers in international journals and conferences.

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