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Event-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid [electronic resource] / by Zhen Li, Sen Li, Tyrone Fernando, Xi Chen.

By: Li, Zhen [author.].
Contributor(s): Li, Sen [author.] | Fernando, Tyrone [author.] | Chen, Xi [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XVI, 285 p. 70 illus., 56 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030456580.Subject(s): Electronic circuits | Signal processing | Electric power production | Electronic Circuits and Systems | Signal, Speech and Image Processing | Electrical Power Engineering | Mechanical Power EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.3815 Online resources: Click here to access online
Contents:
Introduction -- Event-trigger Design for Linear Filtering Event-trigger Strategies -- State Estimation of Doubly Fed Induction Generator (DFIG) Wind Turbine (WT) in Smart Grid -- Event-trigger Particle Filter Design under Limited Communication Bandwidth -- Event-trigger Heterogeneous Nonlinear Filter Design under Limited Computational Burden -- Event-trigger Robust Nonlinear Filter Design under Non-Gaussian Noises -- Event-trigger Robust Nonlinear Filter Design with Packet Dropout -- Discussion on Other Practical Design.
In: Springer Nature eBookSummary: This 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. Focuses on dynamic state estimation (DSE) design for practical smart grid applications; Summarizes the event trigger strategy design for DSE.; Enables designs that reduce the communication rate and achieve balance between the bandwidth and accuracy.
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Introduction -- Event-trigger Design for Linear Filtering Event-trigger Strategies -- State Estimation of Doubly Fed Induction Generator (DFIG) Wind Turbine (WT) in Smart Grid -- Event-trigger Particle Filter Design under Limited Communication Bandwidth -- Event-trigger Heterogeneous Nonlinear Filter Design under Limited Computational Burden -- Event-trigger Robust Nonlinear Filter Design under Non-Gaussian Noises -- Event-trigger Robust Nonlinear Filter Design with Packet Dropout -- Discussion on Other Practical Design.

This 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. Focuses on dynamic state estimation (DSE) design for practical smart grid applications; Summarizes the event trigger strategy design for DSE.; Enables designs that reduce the communication rate and achieve balance between the bandwidth and accuracy.

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