Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection

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Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection

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  • 製本 Hardcover:ハードカバー版/ページ数 482 p.
  • 言語 ENG
  • 商品コード 9780367552343
  • DDC分類 621.319028563

Full 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.

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.

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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