• DocumentCode
    1753051
  • Title

    Study and Application of a Practical Method Based Frequency Domain to Decrease the Rank of Model

  • Author

    Luo, Yi ; Zhu, Wei ; Tian, Tao

  • Author_Institution
    Sch. of Control Sci. & Eng., North China Electr. Power Univ., Beijing
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    4742
  • Lastpage
    4746
  • Abstract
    Model degrading is already a lower-rank approximate model for the high-rank complicate system, and makes it easier and more simply to calculate and analyze the new model than the old system, and this model can supply enough information about the old system. Model degrading is an important link to analyze, design and simulate system. This paper presents a simple and useful method based frequency to decrease the order of model, and gives out the related calculating formula which is proven and simulation results. At last, this method is applied to solve the rank identification in the process of modelling the reheater temperature system of power plants, a prefect result is received. The simulation analysis and real application show its accuracy and effectiveness, it has solved the problem how to construct a model
  • Keywords
    frequency-domain analysis; identification; modelling; high-rank complicate system; lower-rank approximate model; method based frequency domain; model degrading; model rank; power plants; rank identification; reheater temperature system; Analytical models; Degradation; Electronic mail; Frequency domain analysis; Information analysis; Intelligent control; Power engineering and energy; Power generation; Power system modeling; Temperature; application; frequency domain; model degrading; practical method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713283
  • Filename
    1713283