
Hybrid AC/DC Microgrids
Optimization, Energy Management, and Protection
- 1st Edition - April 1, 2026
- Authors: Sayed Abulanwar, Zhe Chen, Weihao Hu, Mohammad Rizk, Abdelhady Ghanem
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 6 3 6 4 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 6 3 6 5 - 8
Hybrid AC/DC Microgrids: Optimization, Energy Management, and Protection is a practical and holistic guide to the opportunities and challenges of this essential energy system… Read more
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- Builds foundational understanding of the key principles, challenges, and opportunities of this approach to microgrid design and maintenance
- Equips readers with practical skills through worked and workable problems, real-world case studies, and a holistic perspective
- The first volume in the new ‘Advances in Sustainable Microgrid Technologies’ series, collecting the latest cutting-edge knowledge on this cornerstone of modern sustainable grids
Part I: Design, Optimization, and Control of Multi-Energy Systems in Normal Conditions
2. Comprehensive Analysis of Scenarios, Decarbonization Strategies, and Methodological Frameworks for Sustainable Power Sector Transformation
3. Optimal Design of Green Hydrogen-Ammonia-Powered Multiuse Hybrid Microgrids
4. Small-Signal Modeling and Analysis of Hybrid AC/DC Microgrids
5. Adaptive Energy Management Strategies of Hybrid AC/DC Microgrids During Normal Conditions
Part II: Secure Operation and Protection of AC/DC Microgrid during Abnormal Conditions
6. Assessment of Lightning Strikes Effects on Hybrid AC/DC Microgrids
7. Protection of Hybrid AC/DC Microgrids Against Faults and Lightning Strikes Via Novel Design of Grounding Systems
8. Fault Detection and Location In Hybrid AC/DC Microgrids Via Grounding Systems and Artificial Intelligence Methods
- Edition: 1
- Published: April 1, 2026
- Language: English
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Sayed Abulanwar
Sayed Abulanwar is currently an Associate Professor of Electrical Engineering in the Faculty of Engineering of Mansoura University, Egypt. He is an Associate Editor of IET Renewable Power Generation and the Alexandria Engineering Journal. He is a Guest Editor for the IET Renewable Power Generation for Special Issue: Applications of Artificial Intelligence in Renewable Energy Systems. He is also Guest Editor for Special Issue: Planning and Operation of Hybrid Renewable Energy Systems, Volume II, Frontiers in Energy Research. His research includes hybrid AC/DC Microgrids, protection of AC and DC systems, wind energy conversion systems, transients in power systems and grid-connected converters.
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Zhe Chen
Zhe Chen has been a full Professor with the Department of Energy Technology at Aalborg University, Denmark, since 2002, where he also leads the Wind Power System Research team. His main research interests include renewable energy, power electronics, power systems, and multi-energy systems. He has led many research projects and published more than 1000 publications in these fields. Prof. Chen is an Associate Editor for the journal IEEE Transactions on Power Electronics, a member of editorial boards for many international journals, a Fellow of the Institution of Engineering and Technology (IET, London, U.K.), and a Chartered Engineer in the U.K.
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Weihao Hu
Weihao Hu is currently a Full Professor and the Director of the Institute of Smart Power and Energy Systems at the University of Electronics Science and Technology of China, China. Previously, he was an Associate Professor and the Vice Program Leader of Wind Power System Research Program at Aalborg University, Denmark. He is an Associate Editor for IET Renewable Power Generation, a Guest Editor-in-Chief of the Journal of Modern Power Systems and Clean Energy Special Issue on 'Applications of Artificial Intelligence in Modern Power Systems', the Guest Editor-in Chief of the Transactions of China Electrical Technology Special Issue on 'Planning and operation of multiple renewable energy complementary power generation systems', and the Guest Editor of the IEEE Transactions on Power Systems Special Issue on 'Enabling very high penetration renewable energy integration into future power systems'. His research interests include artificial intelligence in modern power systems and renewable power generation.
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Mohammad Rizk
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