Refaat / Mohammed / Farrag | Smart Power Networks | Buch | 978-1-032-98090-4 | www.sack.de

Buch, Englisch, 464 Seiten, Format (B × H): 178 mm x 254 mm

Refaat / Mohammed / Farrag

Smart Power Networks

Modeling, Design, Optimization, and Control
1. Auflage 2027
ISBN: 978-1-032-98090-4
Verlag: Taylor & Francis Ltd

Modeling, Design, Optimization, and Control

Buch, Englisch, 464 Seiten, Format (B × H): 178 mm x 254 mm

ISBN: 978-1-032-98090-4
Verlag: Taylor & Francis Ltd


The concept of a "smart grid" has evolved over the years as a sustainable way to modernize and improve the efficiency and reliability of the traditional electrical power system. This book provides comprehensive coverage of the fundamental concepts of smart grids and related advanced key technologies. It also covers the modeling and simulation of various smart grid architectures, using various software tools and packages, with a focus on the design of energy management, control, and optimization strategies. It includes various case studies on smart grid development to help readers understand the practical applications of the technology and how it can be implemented in different settings.

Features

- Addresses the most recent research and developments of smart grids and microgrids from an interdisciplinary approach.

- Discusses methods and tools for the design and optimization of smart grids.

- Offers in-depth coverage of smart grid technologies, and practical guidance on the implementation of smart grids.

- Explains advanced smart grid modeling, monitoring, control, and protection, and advanced algorithms.

- Includes several case studies, practical examples, and interactive diagrams and illustrations to make the concepts more engaging and accessible to a wider audience.

- Provides comprehensive coverage of cybersecurity aspects and challenges that smart grid technology is facing.

This is an essential resource for undergraduate or graduate courses covering modern power systems and the concept of smart grids. It also serves as a source for several training courses for utility engineers who aim to expand their knowledge on smart grids.

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Zielgruppe


Postgraduate, Professional Training, and Undergraduate Advanced

Weitere Infos & Material


1. Architecture Design of Smart Grid. 2. Distribution System Integration with Inverter-Based Distributed Energy Sources. 3. Microgrid: Operation and Control Methods. 4. Smart Grid Protection System. 5. Co-Simulation in Smart Grids. 6. Power Quality Issues in Smart Grid and Mitigation Techniques. 7. Stability Assessment in Smart Grid. 8. Self-Healing in Smart Grid. 9. Demand Response in Smart Grid. 10. Advanced Metering Infrastructure in Smart Grid. 11. Wide-Area Monitoring and Control of Smart Grid. 12. Cyber-Physical Security of Smart Grid: Design and Applications. 13. IoT Applications in Smart Grid. 14. Energy Trading Markets in Smart Grid.


Shady S. Refaat currently holds the position of Reader in Electrical Power Engineering at the University of Hertfordshire and serves as an Adjunct Associate Professor at Texas A&M University. He received his Ph.D. degree in Electrical Engineering from Cairo University, Egypt and has worked as an associate research scientist in the Department of Electrical and Computer Engineering, Texas A&M University in Qatar for more than 11 years. He has published more than 240 journal and conference publications, one patent, and two books. His research interests include power systems, smart grid, energy management systems, reliability of power grids and electric machinery, fault detection, and condition monitoring.

Amira Mohamed is a Lecturer in Electronic Engineering in the Department of Physics, Engineering and Computer Science at the University of Hertfordshire. She received her Ph.D. degree in Electrical Engineering at Texas A&M University College Station, TX, USA in 2024. She worked as a Research Associate with the TEES Smart Grid Center for three years. Her research interests include the control of power microgrid, renewable energy integration, grid-tied and islanded microgrid operations, and co-simulation.

Mostafa Farrag received his M.Eng. degree with Distinction in Electrical Power Engineering from Glasgow Caledonian University, UK, in 2020, and his Ph.D. degree in Electrical Power Engineering from Brunel University London, UK, in 2024. He is currently at the School of Physics, Engineering and Computer Science at the University of Hertfordshire, UK. His research interests include electric vehicles, hybrid energy storage, renewable energy integration, power electronics, smart grids, and modern power distribution networks.

Mouloud Denai is a Professor in Electric Power and Control. He received his Ph.D. degree from the University of Sheffield, UK. He was with the University of Science and Technology of Oran, Algeria, until 2004. From 2004 to 2010, he was with The University of Sheffield. From 2010 to 2014, he was with the University of Teesside, UK. Since 2014 he has been with the University of Hertfordshire, UK. His current research interests include smart grid, microgrid, intelligent control design and computational intelligence applications, among others.

Yichuang Sun is Professor of Communications Electronics and Leader of the Communication Networks Group in the Department of Electronic, Communication, and Electrical Engineering at the University of Hertfordshire, UK. He joined the University of Hertfordshire in 1996. He has published around 250 papers in journals and conferences. His current research interests include digital communication technologies, smart grid applications, and Information and Communication Technology (ICT).



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