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.
1. Chapter 1 Introduction - p. 1 2. Chapter 2 Metaheuristic optimization techniques - p. 27 3. Chapter 3 Artificial intelligence techniques - p. 69 4. Chapter 4 Advanced signal processing techniques for feature extraction - p. 101 5. Chapter 5 Improved optimal phasor measurement unit placement formulation for power system observability - p. 121 6. Chapter 6 Transmission line parameter and system Thevenin equivalent identification - p. 143 7. Chapter 7 Fault diagnosis in two-terminal power transmission lines - p. 159 8. Chapter 8 Fault diagnosis in three-terminal power transmission lines - p. 195 9. Chapter 9 Fault diagnosis in series compensated power transmission lines - p. 223 10. Chapter 10 Intelligent fault diagnosis technique for distribution grid - p. 249 11. Chapter 11 Smart grid fault diagnosis under load and renewable energy uncertainty - p. 293 12. 11.1: Introduction - p. 293 13. 11.2: IEEE 13-node test distribution feeder modeling - p. 294 14. 11.3: Load and renewable energy uncertainty modeling - p. 299 15. 11.4: Fault modeling and feature extraction - p. 306 16. 11.5: Fault diagnosis results and discussions - p. 307 17. 11.6: Developed intelligent fault diagnosis scheme validation - p. 326 18. 11.7: Summary - p. 342 19. Chapter 12 Utility practices on fault location - p. 347 20. Appendices - p. 397 21. Index - p. 411
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.
1. Chapter 1 Introduction - p. 1 2. Chapter 2 Metaheuristic optimization techniques - p. 27 3. Chapter 3 Artificial intelligence techniques - p. 69 4. Chapter 4 Advanced signal processing techniques for feature extraction - p. 101 5. Chapter 5 Improved optimal phasor measurement unit placement formulation for power system observability - p. 121 6. Chapter 6 Transmission line parameter and system Thevenin equivalent identification - p. 143 7. Chapter 7 Fault diagnosis in two-terminal power transmission lines - p. 159 8. Chapter 8 Fault diagnosis in three-terminal power transmission lines - p. 195 9. Chapter 9 Fault diagnosis in series compensated power transmission lines - p. 223 10. Chapter 10 Intelligent fault diagnosis technique for distribution grid - p. 249 11. Chapter 11 Smart grid fault diagnosis under load and renewable energy uncertainty - p. 293 12. 11.1: Introduction - p. 293 13. 11.2: IEEE 13-node test distribution feeder modeling - p. 294 14. 11.3: Load and renewable energy uncertainty modeling - p. 299 15. 11.4: Fault modeling and feature extraction - p. 306 16. 11.5: Fault diagnosis results and discussions - p. 307 17. 11.6: Developed intelligent fault diagnosis scheme validation - p. 326 18. 11.7: Summary - p. 342 19. Chapter 12 Utility practices on fault location - p. 347 20. Appendices - p. 397 21. Index - p. 411
