000 03793nam a22005655i 4500
001 978-3-030-45658-0
003 DE-He213
005 20220801214014.0
007 cr nn 008mamaa
008 200603s2020 sz | s |||| 0|eng d
020 _a9783030456580
_9978-3-030-45658-0
024 7 _a10.1007/978-3-030-45658-0
_2doi
050 4 _aTK7867-7867.5
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
072 7 _aTJFC
_2thema
082 0 4 _a621.3815
_223
100 1 _aLi, Zhen.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_935734
245 1 0 _aEvent-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid
_h[electronic resource] /
_cby Zhen Li, Sen Li, Tyrone Fernando, Xi Chen.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXVI, 285 p. 70 illus., 56 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- 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.
520 _aThis 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.
650 0 _aElectronic circuits.
_919581
650 0 _aSignal processing.
_94052
650 0 _aElectric power production.
_927574
650 1 4 _aElectronic Circuits and Systems.
_935735
650 2 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aElectrical Power Engineering.
_931821
650 2 4 _aMechanical Power Engineering.
_932122
700 1 _aLi, Sen.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_935736
700 1 _aFernando, Tyrone.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_935737
700 1 _aChen, Xi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_935738
710 2 _aSpringerLink (Online service)
_935739
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030456573
776 0 8 _iPrinted edition:
_z9783030456597
776 0 8 _iPrinted edition:
_z9783030456603
856 4 0 _uhttps://doi.org/10.1007/978-3-030-45658-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75850
_d75850