LEADER 03975nam 22006495 450 001 9910407734203321 005 20250610110247.0 010 $a3-030-45658-7 024 7 $a10.1007/978-3-030-45658-0 035 $a(CKB)4100000011279569 035 $a(MiAaPQ)EBC6219813 035 $a(DE-He213)978-3-030-45658-0 035 $a(PPN)248598260 035 $a(MiAaPQ)EBC6219498 035 $a(MiAaPQ)EBC29093104 035 $a(EXLCZ)994100000011279569 100 $a20200603d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvent-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid /$fby Zhen Li, Sen Li, Tyrone Fernando, Xi Chen 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (294 pages) 311 08$a3-030-45657-9 327 $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. 330 $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. 606 $aElectronic circuits 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aEnergy systems 606 $aCircuits and Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/T24068 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aEnergy Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/115000 615 0$aElectronic circuits. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aEnergy systems. 615 14$aCircuits and Systems. 615 24$aSignal, Image and Speech Processing. 615 24$aEnergy Systems. 676 $a621.3191 700 $aLi$b Zhen$4aut$4http://id.loc.gov/vocabulary/relators/aut$0665333 702 $aLi$b Sen$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aFernando$b Tyrone$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChen$b Xi$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910407734203321 996 $aEvent-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid$92505304 997 $aUNINA