Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach is a comprehensive overview of the growing interests in efficient diagnosis of power system faults to reduce outage duration and revenue losses by expediting the restoration process.This book illustrates intelligent fault diagnosis schemes for power system networks, at both transmission and distribution levels, using data acquired from phasor measurement units. It presents the power grid modeling, fault modeling, feature extraction processes, and various fault diagnosis techniques, including artificial intelligence techniques, in steps. The book also incorporates uncertainty associated with line parameters, fault information (resistance and inception angle), load demand, renewable energy generation, and measurement noises.

Provides step-by-step modeling of power system networks (distribution and transmission) and faults in MATLAB/SIMULINK and real-time digital simulator (RTDS) platforms
Presents feature extraction processes using advanced signal processing techniques (discrete wavelet and Stockwell transforms) and an easy-to-understand optimal feature selection method
Illustrates comprehensive results in the graphical and tabular formats that can be easily reproduced by beginners
Highlights various utility practices for fault location in transmission networks, distribution systems, and underground cables.

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Yes, you can access Power System Fault Diagnosis by Md Shafiullah,M. A. Abido,A. H. Al-Mohammed in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Elsevier

Year

2022

ISBN

9780323884303

Topic

Technology & Engineering

Subtopic

Electrical Engineering & Telecommunications

Index

Technology & Engineering

Cover Image
Title Page
Copyright
Table of Contents
About the authors
Acknowledgments
Chapter 1 Introduction
Chapter 2 Metaheuristic optimization techniques
Chapter 3 Artificial intelligence techniques
Chapter 4 Advanced signal processing techniques for feature extraction
Chapter 5 Improved optimal phasor measurement unit placement formulation for power system observability
Chapter 6 Transmission line parameter and system Thevenin equivalent identification
Chapter 7 Fault diagnosis in two-terminal power transmission lines
Chapter 8 Fault diagnosis in three-terminal power transmission lines
Chapter 9 Fault diagnosis in series compensated power transmission lines
Chapter 10 Intelligent fault diagnosis technique for distribution grid
Chapter 11 Smart grid fault diagnosis under load and renewable energy uncertainty
Chapter 12 Utility practices on fault location
Appendices
Index