Robust Dynamic State Estimation of Power Systems
Vorbestellbar | Lieferzeit: Vorbestellbar - Erscheint laut Verlag im/am 01.11.2024. I
Erstverkaufstag: 01.11.2024
214,43 €*
Alle Preise inkl. MwSt.|Versandkostenfrei
ISBN-13:
9780128241578
Veröffentl:
2024
Erscheinungsdatum:
01.11.2024
Seiten:
256
Autor:
Junbo Zhao
Format:
229x152x0 mm
Sprache:
Englisch
Beschreibung:
Robust Dynamic State Estimation of Power Systems demonstrates how to implement and apply robust dynamic state estimators to problems in modern power systems, thereby bridging the literatures of dynamic state estimation and robust estimation theory. The book presents Kalman filter algorithms, demonstrating how to build powerful, robust counterparts. Following sections build out case study-based implementations of robust Kalman filters to decontextualized applications across dynamic state estimation in power systems. Coverage encompasses theoretical backgrounds, motivations, problem formulation, implementations, uncertainties, anomalies and practical applications, such as generator parameter calibration, unknown inputs estimation, control failure detection, protection, and cyberattack detection.
1. Introduction2. State estimation theory3. Linear and Nonlinear Kalman Filtering4. Robust Kalman Filtering5. Power System Dynamics Modeling6. Observability Analysis7. Dynamic State Estimation Implementations8. Dynamic State Estimation Applications9. Transition to Future10. Conclusion11. Appendix
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