Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection
Idioma: inglés
Editorial: Taylor and Francis Ltd, GB, 2021
- Tapa dura
- Nuevo

Librería: Rarewaves.com USA, London, London, Reino UnidoRarewaves.com USA
Vendedor de AbeBooks desde 11 de junio de 2025
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Artificial intelligence (AI) can successfully help in solving real-world problems in power transmission and distribution systems because AI-based schemes are fast, adaptive, and robust and are applicable without any knowledge of the system parameters. This book considers the application of AI methods for the protection of different types and topologies of transmission and distribution lines. It explains the latest pattern-recognition-based methods as applicable to detection, classification, and location of a fault in the transmission and distribution lines, and to manage smart power systems including all the pertinent aspects. FEATURES Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction, and estimation, exclusive to power system protection issues Presents an introduction to enhanced electricity system analysis using decision-making tools Covers AI applications in different protective relaying functions Discusses issues and challenges in the protection of transmission and distribution systems Includes a dedicated chapter on case studies and applicationsThis book is aimed at graduate students, researchers, and professionals in electrical power system protection, stability, and smart grids.…
N° de ref. del artículo LU-9780367552343
- Título
- Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection
- Autor
- Almoataz Y. Abdelaziz
- Editorial
- Taylor and Francis Ltd, GB
- Año de publicación
- 2021
- Estado
- New
- Encuadernación
- Hardback
- Idioma
- inglés
- ISBN 10
- 0367552345
- ISBN 13
- 9780367552343
- Peso del artículo
- 1110 gramos
Artificial intelligence (AI) can successfully help in solving real-world problems in power transmission and distribution systems because AI-based schemes are fast, adaptive, and robust and are applicable without any knowledge of the system parameters. This book considers the application of AI methods for the protection of different types and topologies of transmission and distribution lines. It explains the latest pattern-recognition-based methods as applicable to detection, classification, and location of a fault in the transmission and distribution lines, and to manage smart power systems including all the pertinent aspects.
FEATURES
- Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction, and estimation, exclusive to power system protection issues
- Presents an introduction to enhanced electricity system analysis using decision-making tools
- Covers AI applications in different protective relaying functions
- Discusses issues and challenges in the protection of transmission and distribution systems
- Includes a dedicated chapter on case studies and applications
This book is aimed at graduate students, researchers, and professionals in electrical power system protection, stability, and smart grids.
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Almoataz Y. Abdelaziz (SM’15) received the B.Sc. and M.Sc. degrees in electrical engineering from Ain Shams University, Cairo, Egypt, in 1985 and 1990, respectively, and the Ph.D. degree in electrical engineering according to the channel system between Ain Shams University, Egypt, and Brunel University, U.K., in 1996. He has been a Professor of electrical power engineering with Ain Shams University, since 2007. He was the Vice Dean for Education and Students Affairs in Faculty of Engineering and Technology, Future University in Egypt from 2018-2019. He has authored or coauthored more than 450 refereed journal and conference papers, 30 book chapters, and six edited books with Elsevier, Springer and CRC Press. In addition, he has supervised 80 Master’s and 35 Ph.D. theses. His research areas include the applications of artificial intelligence, evolutionary and heuristic optimization techniques to power system planning, operation, and control. Dr. Abdelaziz is a senior member in IEEE and member in the Egyptian Sub-Committees of IEC and CIGRE’. He has been awarded many prizes for distinct researches and for international publishing from Ain Shams University and Future University in Egypt. He is the chairman of the IEEE Education Society chapter in Egypt. He is a senior Editor of Ain Shams Engineering Journal, an editor of Electric Power Components and Systems journal, an Editorial Board member, an Editor, an Associate Editor, and an Editorial Advisory Board member for many international journals.
Dr. Shady Abdel Aleem received the B.Sc., M.Sc. and Ph.D. degrees in Electrical Power and Machines from the Faculty of Engineering, Helwan University, Egypt, in 2002, and the Faculty of Engineering, Cairo University, Egypt, in 2010 and 2013 respectively. From September 2018 to September 2019, he has been an Associate Professor at the 15th May Higher Institute of Engineering and the quality assurance unit director. Since September 2019, he is an Adjunct Associate Professor in the Arab Academy for Science, Technology & Maritime Transport, College of Engineering and Technology, Smart Village Campus for teaching power quality energy efficiency, wind energy, and energy conversion courses. Also, he is a consultant of power quality studies in ETA Electric Company, Egypt. His research interests include harmonic problems in power systems, power quality, renewable energy, smart grid, energy efficiency, optimization, green energy, and economics. Dr. Shady is the author or co-author of many refereed journals and conference papers. He has published 100 plus journal and conference papers, 18 plus book chapters, and 7 edited books with the Institution of Engineering and Technology (IET) (2), Elsevier (3), Springer (1) and InTech (1). He was awarded the State Encouragement Award in Engineering Sciences in 2017 from Egypt. He was also awarded the medal of distinction from the first class of the Egyptian State Award in 2020 from Egypt. Dr. Shady is a member of the Institute of Electrical and Electronics Engineers (IEEE). Dr. Shady is also a member of the Institution of Engineering and Technology (IET). He is an Editor/Associate Editor for the International Journal of Renewable Energy Technology, Vehicle Dynamics, IET Journal of Engineering, Technology and Economics of Smart Grids and Sustainable Energy, and International Journal of Electrical Engineering Education.
Anamika Yadav received the Bachelor of Engineering degree in Electrical Engineering from RGPV, Bhopal, in 2002, the Master of Technology degree in Integrated Power System from V.N.I.T., Nagpur, India, in 2006, and the Ph.D. degree from CSVTU, Bhilai, India, in 2010 at National Institute of Technology (NIT) Raipur as research center. She was an Assistant Engineer with the Chhattisgarh State Electricity Board, Raipur, from 2004 to 2009. She served as an Assistant Professor in the Department of Electrical Engineering, NIT Raipur, during 2009-2018. Presently she is an Associate Professor with the Department of Electrical Engineering, NIT Raipur, Raipur, since 2018. Additionally, she is also serving as Associate Dean (Research and Consultancy) at NIT Raipur since 2018. She has supervised 7 PhD thesis and 22 M.Tech thesis. Her research interests include Digital Protection & Automation, Smart Grid Technologies and Applications, Distributed Generation, Micro-grid, and Application of Artificial Intelligence, Power system protection, FACTS technologies etc. She received the Institution of Engineers India Young Engineers Award in the Electrical Engineering Division during 2015 to 2016, VIFFA young faculty award 2015, VIFRA young scientist award 2015, Chhattisgarh young scientist award in 2016 given by Chief Minister of CG. She is also a Senior Member of IEEE from 2014. She has more than 120 publications in International journals and conferences and around 1800 citations as per Google scholar.
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