Robust Dynamic State Estimation of Power Systems

Name: Robust Dynamic State Estimation of Power Systems
Brand: Elsevier US
Price: 410.25 AUD
Availability: BackOrder

By: Zhao, Netto

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Paperback | 1 November 2024 | Edition Number 1

At a Glance

Paperback
256 Pages

Dimensions(cm)
22.9 x 15.1

Paperback

$410.25

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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.

Future research topics are identified and discussed, including open research questions. The book will serve as a key reference for power system real-time monitoring, control center engineers, and graduate students for learning (course related work) and research.

Elucidates theoretical motivations, definitions, formulations, and robustness enhancement
Engages with emerging practical problems in the application of dynamic state estimation through case studies
Provides a roadmap for the transition of DSE concepts to practical implementations and applications
Develops advanced robust statistics theory and uncertainty management methods

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