• DocumentCode
    1482763
  • Title

    Time Domain Transformation Method for Accelerating EMTP Simulation of Power System Dynamics

  • Author

    Fan, Shengtao ; Ding, Hui

  • Author_Institution
    Power Syst. Dept., CEPRI, Beijing, China
  • Volume
    27
  • Issue
    4
  • fYear
    2012
  • Firstpage
    1778
  • Lastpage
    1787
  • Abstract
    Electromagnetic Transients Program (EMTP) is widely used in power system dynamics studies. However, in most cases EMTP is found inadequate for dealing with the realistic size power systems due to the small time step resulting in relatively slow simulation speeds. To accelerate the EMTP simulations of power system dynamics, a novel frequency-adaptive methodology is proposed. In this method, a new transformation is presented. The properties of the transformation and the numerical solutions based on the transformation are discussed. The component models obtained by discretizing the differential equations at the branch level are also given which are convenient for EMTP implementation. The proposed method allows using large time steps without sacrificing accuracy, which greatly improves the simulation speed. To validate the proposed methodology, a general program has been developed. Furthermore, various case studies substantiate the claims and demonstrate the application of the method.
  • Keywords
    EMTP; differential equations; power system simulation; time-domain analysis; Electromagnetic Transient Program; accelerating EMTP simulation; differential equation; frequency-adaptive methodology; power system dynamic simulation; time domain transformation method; EMTP; Power system dynamics; Power system simulation; Power system stability; Power system transients; Time domain analysis; Algorithms; Electromagnetic Transients Program (EMTP); companion model; power system dynamic; power system simulation; power system transient stability; shifted frequency analysis (SFA);
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2188913
  • Filename
    6177705