skip to main content
Primo Advanced Search
Primo Advanced Search Query Term
Primo Advanced Search prefilters

Approximate Bisimulation-Based Reduction of Power System Dynamic Models

Stankovic, Aleksandar M. ; Dukic, Savo D. ; Saric, Andrija T.

IEEE transactions on power systems, 2015-05, Vol.30 (3), p.1252-1260 [Periódico revisado por pares]

United States: IEEE

Texto completo disponível

Citações Citado por
  • Título:
    Approximate Bisimulation-Based Reduction of Power System Dynamic Models
  • Autor: Stankovic, Aleksandar M. ; Dukic, Savo D. ; Saric, Andrija T.
  • Assuntos: Analytical models ; Dynamics ; Mathematical model ; Numerical models ; Power system dynamics ; power system modeling ; Power system stability ; stability analysis ; Transient analysis ; Vectors
  • É parte de: IEEE transactions on power systems, 2015-05, Vol.30 (3), p.1252-1260
  • Notas: USDOE Advanced Research Projects Agency - Energy (ARPA-E)
    DE-AR0000223
  • Descrição: In this paper we propose approximate bisimulation relations and functions for reduction of power system dynamic models in differential-algebraic (descriptor) form. The full-size dynamic model is obtained by linearization of the nonlinear transient stability model. We generalize theoretical results on approximate bisimulation relations and bisimulation functions, originally derived for a class of constrained linear systems, to linear systems in descriptor form. An algorithm for transient stability assessment is proposed and used to determine whether the power system is able to maintain the synchronism after a large disturbance. Two benchmark power systems are used to illustrate the proposed algorithm and to evaluate the applicability of approximate bisimulation relations and bisimulation functions for reduction of the power system dynamic models.
  • Editor: United States: IEEE
  • Idioma: Inglês

Buscando em bases de dados remotas. Favor aguardar.