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Herausgeber: 
  • Felix F. Wu
  • James A. Momoh
  • Joe H. Chow
  • Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2010  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Alternative & renewable energy sources & technology / C / Electrical Engineering / Electrical Power Engineering / Energy Grids and Networks / Energy Policy, Economics and Management / energy systems / engineering / Power electronics / Power Electronics, Electrical Machines and Networks / Renewable and Green Energy / Renewable energy resources
    ISBN:  9781441936318 
    EAN-Code: 
    9781441936318 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Power Electronics and Power Systems  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  545 gr 
    Seiten:  324 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003.  The theme of the workshop was the use of applied mathematics to solve challenging power system problems.  The areas included control, optimization, and computational intelligence.  In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields.  Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction.

    This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.

      



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