Load Frequency Control in Microgrids
Techniques and Tools for the Energy Transition
- 1st Edition - July 1, 2026
- Latest edition
- Editors: Yogendra Arya, Sandeep Dhundhara, Hany M. Hasanien
- Language: English
Load Frequency Control in Microgrids: Techniques and Tools for the Energy Transition presents the intricate techniques of microgrid frequency control, with a focus on enhanc… Read more
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.
- Provides a much-needed guide to this complex area, from modeling and algorithms to cybersecurity
- Includes access to Simulink models and code files, allowing readers to test and learn themselves
- Supports engineers, students, and academics in developing the sustainable microgrid solutions of the future
2. Issues and Need of Microgrid Frequency Control
3. Modeling Microgrid Components for Load Frequency Control Studies
4. Control Strategies for Microgrid Frequency Control
5. Designing Controllers for Microgrid Frequency Control
6. Role of Energy Storage Systems in Microgrid Frequency Control
7. Analytical Approaches to Microgrid Frequency Control
8. Frequency Control in Multi-Microgrid Systems
9. Hardware and Real-Time Validation of Microgrids
10. Cybersecurity, Ethical, and Regulatory Concerns in Microgrid Frequency Control
11. Future Trends and Research Directions in Microgrid Load Frequency Control
- Edition: 1
- Latest edition
- Published: July 1, 2026
- Language: English
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Yogendra Arya
Yogendra Arya is currently an Associate Professor at J.C. Bose University of Science and Technology, India. His major 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.
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Sandeep Dhundhara
Sandeep Dhundhara is currently working in the College of Engineering, Faculty of Computing, Engineering, and the Built Environment, at Birmingham City University, Birmingham, 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.
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