• DocumentCode
    2092578
  • Title

    Computationally efficient solvers for power system applications

  • Author

    Grant, L.L. ; Crow, M.L. ; Cheng, M.X.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • fYear
    2015
  • fDate
    20-21 Feb. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    If power system time-domain simulations could run in real-time, then system operators would have situational awareness to implement on-line control and avoid cascading failures, significantly improving power system reliability. Many power system assessment tools, such as power flow and short circuit analysis, require very large sparse matrix computations. As power systems continue to grow, there is a greater computational complexity involved in solving these large linear systems within reasonable time. We are expanding the current work in fast linear solvers to develop power system specific methods that show potential for accurate solutions in nearly-linear run times.
  • Keywords
    load flow; network analysis; power system control; power system faults; power system reliability; sparse matrices; on-line control; power flow; power system applications solvers; power system reliability; power system time-domain simulations; short circuit analysis; sparse matrix computations; Chebyshev approximation; Convergence; Iterative methods; Linear systems; Power systems; Sparse matrices; Matrix preconditioning; graph sparsification; linear system solution; power system simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Conference at Illinois (PECI), 2015 IEEE
  • Conference_Location
    Champaign, IL
  • Type

    conf

  • DOI
    10.1109/PECI.2015.7064885
  • Filename
    7064885