• DocumentCode
    135475
  • Title

    EMTP-type realization of model reduction algorithms for transient simulation of distribution networks

  • Author

    Chengshan Wang ; Hao Yu ; Peng Li ; Chengdi Ding ; Guanyu Song ; Xiaopeng Fu ; Chongbo Sun ; Kai Yuan

  • Author_Institution
    Key Lab. of Smart Grid of Minist. of Educ., Tianjin Univ., Tianjin, China
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Model reduction is a popular trend in large-scale system simulations. It is also an effective way to improve the efficiency of distribution system simulations. In this paper, the realization of state-space-based model reduction methods in EMTP-type programs is presented. The state-space model of linear time-invariant distribution network is reduced and simulated with the detailed nodal model in EMTP-type programs. The combined state-space nodal analysis algorithm is adopted as the interface between the state-space models and the nodal models. Simulations are performed to show the feasibility and validity of the proposed method, and the improvement in efficiency with the application of model reduction.
  • Keywords
    EMTP; distribution networks; power system simulation; power system transients; reduced order systems; state-space methods; EMTP-type programs; EMTP-type realization; distribution networks; distribution system simulations; linear time-invariant distribution network; model reduction algorithms; nodal model; state-space nodal analysis algorithm; state-space-based model reduction methods; transient simulation; Algorithm design and analysis; Computational modeling; Equations; Integrated circuit modeling; Mathematical model; Reduced order systems; State-space methods; EMTP-type program; combined state-space nodal analysis; distribution network; model reduction; transient simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939385
  • Filename
    6939385