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Autor(en): 
  • Arturo Bretas
  • Newton Bretas
  • Joao B.A. London Jr
  • Breno Carvalho
  • Cyber-Physical Power Systems State Estimation 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2021  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Bad data analysis / cyber physical security / Electric motors / Electrical Engineering / Energy, power generation, distribution and storage / geometric interpretation / Measurement redundancy / observability analysis
    ISBN:  9780323900331 
    EAN-Code: 
    9780323900331 
    Verlag:  Elsevier 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 23 mm 
    Gewicht:  390 gr 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Cyber-Physical Power System State Estimation updates classic state estimation tools to enable real-time operations and optimize reliability in modern electric power systems. The work introduces and contextualizes the core concepts and classic approaches to state estimation modeling. It builds on these classic approaches with a suite of data-driven models and non-synchronized measurement tools to reflect current measurement trends required by increasingly more sophisticated grids. Chapters outline core definitions, concepts and the network analysis procedures involved in the real-time operation of EPS. Specific sections introduce power flow problem in EPS, highlighting network component modeling and power flow equations for state estimation before addressing quasi static state estimation in electrical power systems using Weighted Least Squares (WLS) classical and alternatives formulations. Particularities of the state estimation process in distribution systems are also considered. Finally, the work goes on to address observability analysis, measurement redundancy and the processing of gross errors through the analysis of WLS static state estimator residuals.

      
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