Title: Modeling of a synchronous machine connected to an infinite bus via decomposition technique
Abstract: In general, control system design usually begins with some knowledge of the physical system that is to be controlled. As the result of this knowledge, a mathematical model of such a physical system can be developed. The mathematical model of the system is usually describes as a plant. The model developed is often used to simulate the system in order to predict its response and performance. The dynamic behavior of a physical system that is of primary concern can be described by differential equations. In general, actual dynamic systems are most accurately defined in a mathematical sense by nonlinear differential equations. However, in many cases, linear approximations can be obtained that can accurately represent the behavior of such systems around some nominal operating point. The design of control system is often confronted with high dimensionality and difficulties of stiffness due to the parasitic parameters. Model order reduction is one of the best methods for studying and analyzing of such systems. This paper will demonstrate how the iterative separation algorithm is used to obtain seven-reduced-order or slow models and four-reduced-order or fast models of an eleventh-order linear time-invariant synchronous machine equations equipped with an excitation system.
Publication Year: 1996
Publication Date: 1996-11-01
Language: en
Type: article
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