Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection  book cover
1st Edition

Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection

ISBN 9780367552343
Published October 22, 2021 by CRC Press
512 Pages 244 B/W Illustrations

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Book Description

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.


  • 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.

Table of Contents

Chapter 1 Application of Metaheuristic Algorithms in Various Aspects of Electrical Transmission and Systems Protection Protection

Vijay Kale, Anamika Yadav, Prashant Bedekar


Chapter 2 AI-based Scheme for the Protection of Power Systems Networks Due to Incorporation of Distributed Generations

Bhavesh Kumar R. Bhalja, Yogesh M. Makwana


Chapter 3 An Intelligent Scheme for Classification of Shunt Faults Including Atypical Faults in Double-Circuit Transmission Line

Valabhoju Ashok, Anamika Yadav, Mohammad Pazoki, Almoataz Y. Abdelaziz


Chapter 4 An Artificial Intelligence -Based Detection and Classification of Faults on Transmission Lines

Dalia Allam, Almoataz Y. Abdelaziz


Chapter 5 Intelligent Fault Location Schemes for Modern Power Systems

Tamer A. Kawady, Mahmoud A. Elsadd, Nagy I. Elkalashy


Chapter 6 An Integrated Approach for Fault Detection, Classification and Location in MediumVoltage Underground Cables

M. Karthikeyan, R. Rengaraj


Chapter 7 A New High Impedance Fault Detection Technique Using Deep Learning Neural Network

M. M. Eissa,  M. H. Awadalla, A. M. Sharaf


Chapter 8 AI-based Scheme for the Protection of Multi-Terminal Transmission Lines

Bhavesh Kumar R. Bhalja


Chapter 9 Data Mining-Based Protection Methodologies for Series Compensated Transmission Network

S. K. Singh, D. N. Vishwakarma, R. K. Saket


Chapter 10 AI-Based Protective Relaying Schemes for Transmission Line Compensated with FACTS Devices

Bhupendra Kumar, Anamika Yadav, Almoataz Y. Abdelaziz


Chapter 11 AI-based PMUs Allocation for Protecting Transmission Lines

Abdelazeem A. Abdelsalam, Karim M. Hassanin


Chapter 12 An Expert System for Optimal Coordination of Directional Overcurrent Relays in Meshed Networks

Hajjar A. Ammar


Chapter 13 Optimal Overcurrent Relay Coordination Considering Standard and Non-Standard Characteristics

Ahmed Korashy, Salah Kamel, Loai Nasrat, Francisco Jurado


Chapter 14 Artificial Intelligence Applications in DC Microgrid Protection

Morteza Shamsoddini, Behrooz Vahidi


Chapter 15 Soft Computing-Based DC-Link Voltage Control Technique for SAPF in Harmonic and Reactive Power Compensation

Pravat Kumar Ray, Sushree Diptimayee Swain


Chapter 16 Artificial Intelligence Application for HVDC Protection

Zahra Moravej, Amir Imani, Mohammad Pazoki


Chapter 17 Intelligent Schemes for Fault Detection, Classification, and Location in HVDC Systems

Mohammad Farshad


Chapter 18 Fault Classification and Location in MT-HVDC Systems based on Machine Learning

Raheel Muzzammel, Ali Raza

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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.