Title :
Approximate Bisimulation-Based Reduction of Power System Dynamic Models
Author :
Stankovic, Aleksandar M. ; Dukic, Savo D. ; Saric, Andrija T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA, USA
Abstract :
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.
Keywords :
differential algebraic equations; linear systems; linearisation techniques; power system dynamic stability; power system transient stability; approximate bisimulation relation; approximate bisimulation-based reduction; bisimulation function; constrained linear system; differential algebraic form; linearization; nonlinear transient stability model; power system dynamic model; transient stability assessment; Analytical models; Mathematical model; Numerical models; Power system dynamics; Power system stability; Transient analysis; Vectors; Dynamics; power system modeling; stability analysis;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2014.2342504