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.
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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
