• DocumentCode
    797167
  • Title

    A composite exponential and linear MOA model for switching transient simulation

  • Author

    Li, Yunge ; Shi, Wei ; Niu, Xiaomin

  • Author_Institution
    Sch. of Electr. Eng., Xi´´an Jiaotong Univ., China
  • Volume
    17
  • Issue
    3
  • fYear
    2002
  • fDate
    7/1/2002 12:00:00 AM
  • Firstpage
    730
  • Lastpage
    735
  • Abstract
    The multiexponential metal oxide surge arrester (MOA) model currently used to simulate switching transients (current model), approximates the V-I characteristic of an MOA with several exponential segments. A test case illustrates a numerical oscillation caused by this model. The source of the oscillation is identified as the value jump of the derivative of the approximating function at the boundary point of adjacent exponential segments. The problem can be solved by using the Quasi-Newton method, but at the expense of computing time. A modified model is presented in this paper. This new model (proposed model) features a composite exponential and linear approximation to the V-I characteristic, and a monotonic derivative of the approximating function. The combination of the Newton method of iteration and the proposed model not only avoids numerical oscillation, but also has a better performance on computing time than the combination of the Quasi-Newton method and the current model.
  • Keywords
    EMTP; Newton method; arresters; digital simulation; switching transients; EMTP; Electromagnetic Transient Program; V-I characteristic linear approximation; adjacent exponential segments; approximating function monotonic derivative; boundary point; composite exponential and linear MOA model; derivative value jump; iteration; metal oxide surge arrester; numerical oscillation avoidance; switching transients simulation; Arresters; EMTP; Electric resistance; Iterative methods; Newton method; Power system modeling; Power system simulation; Power system transients; Surges; Testing;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2002.1022796
  • Filename
    1022796