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007			cr nn nnnaamaa
008			200603s2020 gw a o |||| 0|eng d
020			_a9783030456580
024	7		_a10.1007/978-3-030-45658-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK1005 _b2020 EB
100	1		_aLi, Zhen _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n78039378 _1http://viaf.org/viaf/29413981 _9674512
245	1	0	_aEvent-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid _cby Zhen Li, Sen Li, Tyrone Fernando, Xi Chen
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020
300			_a1 recurso en línea (XVI, 285 páginas) _b70 ilustraciones, 56 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aEngineering (Springer-11647)
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	3		_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.
988			_aSpringer_Engineering_23062020
650		7	_2embne _aRedes de energía eléctrica _9153443
700	1		_aLi, Sen _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n84160805 _1http://viaf.org/viaf/285640344 _9674513
700	1		_aFernando, Tyrone _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n2007185296 _1http://viaf.org/viaf/220291696 _9674514
700	1		_aChen, Xi _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n79131168 _1http://viaf.org/viaf/102495253 _9674516
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729
776	0	8	_iPrinted edition: _z9783030456573
776	0	8	_iPrinted edition: _z9783030456597
776	0	8	_iPrinted edition: _z9783030456603
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-45658-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2020 _dz _eIG _zSI