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Titlebook: Event-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid; Zhen Li,Sen Li,Xi Chen Book 2020 The Editor(s) (if a

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發(fā)表于 2025-3-21 19:10:33 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Event-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid
編輯Zhen Li,Sen Li,Xi Chen
視頻videohttp://file.papertrans.cn/318/317427/317427.mp4
概述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 achie
圖書封面Titlebook: Event-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid;  Zhen Li,Sen Li,Xi Chen Book 2020 The Editor(s) (if a
描述.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..
出版日期Book 2020
關(guān)鍵詞Smart Grid; Wide area measurement systems; State Estimation in Electric Power Systems; Power System Sta
版次1
doihttps://doi.org/10.1007/978-3-030-45658-0
isbn_softcover978-3-030-45660-3
isbn_ebook978-3-030-45658-0
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:34:44 | 只看該作者
板凳
發(fā)表于 2025-3-22 04:09:33 | 只看該作者
Conclusion, of WAMS in power system. However, with booming size of power grid, although PMUs facilitate the DSE to capture the dynamics of power system, the communication network is easily congested due to the PMU data transmission to the WAMS application in center.
地板
發(fā)表于 2025-3-22 06:59:45 | 只看該作者
https://doi.org/10.1007/978-3-319-02189-8ronization of WAMS based on the phasor measurement unit (PMU) as well as the network communication system from the local sensor to the remote control center. Based on the clear understanding on WAMS, the critical dynamic state estimation (DSE) technique, which plays an important role in power system
5#
發(fā)表于 2025-3-22 08:47:15 | 只看該作者
Functional Transformations of Signals,Send-on-Delta, innovation based condition, covariance based condition, and stochastic one, including stochastic open loop condition and stochastic innovational condition. The detailed comparison among them is further given regarding the critical characteristics for the further practical application.
6#
發(fā)表于 2025-3-22 12:57:18 | 只看該作者
Christer B. Aaker?y,Kanishka EpaTCKF uses the innovation based event triggered sampling strategy in the sensor node to reduce the data transmission of measurements. Based on the developed nonlinear event triggered strategy, the cubature Kalman filter (CKF), using the third degree spherical-radial cubature rule, is further applied
7#
發(fā)表于 2025-3-22 18:52:21 | 只看該作者
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發(fā)表于 2025-3-23 00:09:35 | 只看該作者
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發(fā)表于 2025-3-23 03:40:17 | 只看該作者
https://doi.org/10.1007/978-3-031-18572-4Firstly, to overcome the deficiency of ETCKF in this chapter, the stochastic event triggered cubature Kalman filter (SETCKF) is developed based on the stochastic innovation based event triggered sampling strategy, which can maintain the Gaussian property of the conditional distribution of the system
10#
發(fā)表于 2025-3-23 08:28:52 | 只看該作者
Springer Tracts in Modern Physicsck types, which are the data tampering attack and the deviation control command forgery attack, are established in this chapter. Aiming at the data tampering attack problem, the anomaly data detector is designed by using the projection statistics method. After the attack is detected, the weight matr
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