Modularized Global Dynamic State Estimation for Power Systems
Author: Mohamad Hasan Modir-Shanechi
Publisher:
Published: 1979
Total Pages: 280
ISBN-13:
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Author: Mohamad Hasan Modir-Shanechi
Publisher:
Published: 1979
Total Pages: 280
ISBN-13:
DOWNLOAD EBOOKAuthor: Cascais Portugal
Publisher: Elsevier
Published: 2016-06-06
Total Pages: 1005
ISBN-13: 1483101053
DOWNLOAD EBOOKProceedings of the Ninth Power Systems Computation Conference
Author: Junbo Zhao
Publisher: Elsevier
Published: 2023-06-01
Total Pages: 0
ISBN-13: 0323859070
DOWNLOAD EBOOKRobust 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
Author: Zhen Li
Publisher: Springer Nature
Published: 2020-06-03
Total Pages: 294
ISBN-13: 3030456587
DOWNLOAD EBOOKThis book describes how dynamic state estimation application in wide-area measurement systems (WAMS) are crucial for power system reliability, to acquire precisely power system dynamics. The event trigger DSE techniques described by the authors provide a design balance between the communication rate and estimation performance, by selectively sending the innovational data. The discussion also includes practical problems for smart grid applications, such as the non-Gaussian process/measurement noise, packet dropout, computation burden of accurate DSE, robustness to the system variation, etc. Readers will learn how the event trigger DSE can facilitate the effective reduction of communication rates, with guaranteed accuracy under a variety of practical conditions in smart grid applications.
Author: Zhaoyang Jin
Publisher:
Published: 2018
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: William Langhorne Miller
Publisher:
Published:
Total Pages: 200
ISBN-13:
DOWNLOAD EBOOKAuthor: Veera Raju Vinnakota
Publisher: Springer Nature
Published:
Total Pages: 626
ISBN-13: 3031628675
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1980
Total Pages: 720
ISBN-13:
DOWNLOAD EBOOKAuthor: Hamed Tebianian
Publisher:
Published: 2014
Total Pages:
ISBN-13:
DOWNLOAD EBOOKResearch in the area of power system transient stability has recently focused on dynamic state estimation using high rate Phasor Measurement Unit (PMU) data. Several mathematical models for synchronous machine are developed and various estimation approaches are proposed for this purpose. In this thesis, the mathematical formulation of nonlinear state space modeling and the principles of Kalman Filter are explained. Extended and Unscented Kalman Filters (EKF and UKF), as two nonlinear estimation methods, are applied for state and parameter estimation in an induction motor. In the next stage, after presenting a thorough explanation about modeling of the synchronous machine, dynamic state estimation is applied on different power system case studies and the results of estimation methods are compared. The simulation results provided in this thesis show the great potential of the proposed estimation approaches for accurately estimating the states of the machine as well as reducing the effect of noise on input signals.
Author: G. Lozza
Publisher:
Published: 1977
Total Pages:
ISBN-13:
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