Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection

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.

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

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