
Power System Fault Diagnosis
A Wide Area Measurement Based Intelligent Approach
Description
Key Features
- 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.
Readership
Postgraduate students of electrical power and energy systems. Professional researchers and academic practitioners. Industrial (power system) engineers. Power system and renewable energy research centers. Electric power utility companies. Professional and technical societies (IEEE, IET, and CIGRE)
Table of Contents
1. Introduction
2. Metaheuristic Optimization Techniques
3. Artificial Intelligence Techniques
4. Advanced Signal Processing Techniques for Feature Extraction
5. Improved Optimal PMU Placement Formulation for Power System Observability
6. Transmission Line Parameter and System Thevenin Equivalent Identification
7. Fault Diagnosis in Two-Terminal Power Transmission Lines
8. Fault Diagnosis in Three-Terminal Power Transmission Lines
9. Fault Diagnosis in Series Compensated Power Transmission Lines
10. Intelligent Fault Diagnosis Technique for Distribution Grid
11. Smart Grid Fault Diagnosis under Load and Renewable Energy Uncertainty
12. Utility Practices on Power System Fault Diagnosis
13. Appendix
Product details
- No. of pages: 428
- Language: English
- Copyright: © Elsevier 2022
- Published: January 14, 2022
- Imprint: Elsevier
- eBook ISBN: 9780323884303
- Paperback ISBN: 9780323884297
About the Authors
Md Shafiullah
Affiliations and Expertise
M. A. Abido
Affiliations and Expertise
A. H. Al-Mohammed
Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
Abdul H. Sun Apr 17 2022
Very well-Organized content
Very well-Organized content from a research and utility perspective. Look forward to reading the full content (desktop copy)
Ibrahim Mon Sep 20 2021
Interesting
Very interesting and well written