Title :
A power system dynamical model in the matrix polynomial description form
Author :
Damasceno Freitas, Francisco ; Varricchio, Sergio Luis
Author_Institution :
Dept. of Electr. Eng., Univ. of Brasilia, Brasilia, Brazil
Abstract :
This paper proposes an alternative option to model a dynamical power system process. The model is based on a matrix polynomial form. The model can be obtained naturally writing the high order differential equations of some components (e.g. transmission line models modeled by sequences of RLC PI circuits in power systems) or some subsystems which compose the whole system. Another strategy would be by conversion of a known power system dynamical state-space representation. This latter was the option adopted in this paper. The conversion process from a model to another is done by carrying out successive Gaussian eliminations (GE) on an augmented frequency dependent matrix constructed from the state-space model. The equivalence of both approaches are evaluated and compared by accomplishing experiments in two dynamical systems. One of them is composed of RLC PI circuits calculated from the discretization process of transmission lines in the frequency domain. The results considering computation of transfer functions taking into account both methodologies demonstrate the equivalence of models.
Keywords :
Gaussian processes; RLC circuits; differential equations; polynomial matrices; power system simulation; power transmission lines; transfer functions; RLC PI circuits; augmented frequency dependent matrix; high order differential equations; matrix polynomial description form; power system dynamical model; power system dynamical state-space representation; successive Gaussian eliminations; transfer functions; transmission line models; transmission lines; Computational modeling; Eigenvalues and eigenfunctions; Integrated circuit modeling; Mathematical model; Polynomials; Transmission line matrix methods; Vectors; eigenvalues; frequency response; matrix polynomial representation; power system modeling; quadratic system; transfer function;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672952