• DocumentCode
    2404482
  • Title

    Iterative solver techniques in the dynamic simulation of power systems

  • Author

    Chaniotis, Dimitrios ; Pai, M.A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    609
  • Abstract
    The time domain solution of power system models is generally done via the simultaneous implicit method. In the process, the trapezoidal integration formula is used to convert the differential algebraic system into a set of nonlinear algebraic equations. The algebraic system is then solved using Newton´s method, which involves the solution of a set of linear equations at each time step of the integration. Instead of using the LU factorization, the authors use the GMRES method for the solution of the linear system. The reasons for the slow convergence of the GMRES when solving this system are examined, and methods to alleviate this problem are proposed. In addition, they use a modification of GMRES, which is shown to be more efficient for ill-conditioned systems. The methods are applied to the dynamic simulation of a 3-machine, 9-bus system and a 16-machine, 68-bus system
  • Keywords
    iterative methods; power system simulation; time-domain analysis; GMRES method; computer simulation; convergence; generalised minimal residual method; ill-conditioned systems; iterative solver techniques; linear system solution; power system dynamic simulation; power system models; time domain solution; Differential algebraic equations; Differential equations; Linear systems; Nonlinear equations; Power system dynamics; Power system modeling; Power system planning; Power system simulation; Power system stability; Power system transients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Summer Meeting, 2000. IEEE
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-6420-1
  • Type

    conf

  • DOI
    10.1109/PESS.2000.867656
  • Filename
    867656