• DocumentCode
    2954724
  • Title

    Study of TSC Plus SVG Based on the Mixture of Hot Rolling Mill Control of Reactive Power Compensation

  • Author

    Lei Zhang ; Shan-cheng Qi ; Hui-guang Zhao ; Juan Yao

  • Author_Institution
    Dept. of Autom. Control, Henan Mech. & Electr. Eng. Coll., Xinxiang, China
  • fYear
    2011
  • fDate
    30-31 July 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    To meet the requirement of continuous reactive power compensation with low cost, high reliability and large capacity, a hybrid dynamic reactive power compensation system was proposed based on TSC (thyristor switched capacitor in parallel) and SVG (static var compensator). This system consisting of discrete subsystem TSC and continuous subsystem SVG, coordinated the capacitor switching rating of TSC with dynamic compensation of SVG by using two hybrid control laws based on expert decision making, made full use of their respective advantages. The machine learning approach was applied to avoid repeated movements of capacitors and extend equipment life.
  • Keywords
    capacitors; control engineering computing; decision making; hot rolling; learning (artificial intelligence); rolling mills; static VAr compensators; thyristors; continuous reactive power compensation; continuous subsystem SVG; discrete subsystem TSC; expert decision making; hot rolling mill control; hybrid control laws; machine learning approach; static VAr compensator; thyristor switched capacitor; Capacitors; Harmonic analysis; Reactive power; Switches; Switching circuits; Voltage fluctuations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems Engineering (CASE), 2011 International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-0859-6
  • Type

    conf

  • DOI
    10.1109/ICCASE.2011.5997699
  • Filename
    5997699