Multi machine power system excitation control design via theories of feedback linearization control and nonlinear robust control
Abbreviated Journal Title
Int. J. Syst. Sci.
STABILIZER; Automation & Control Systems; Computer Science, Theory & Methods; Operations Research & Management Science
The dynamics of a large-scale power system are both nonlinear and interconnected. The equilibrium of such a system is typically unknown and uncertain, and the controllers within are also subject to physical limitations. In this paper, a new application of nonlinear robust control is presented for power system control design. rt is assumed that the controllers are designed as a part of generator excitation system design. First, a customized exact feedback linearization scheme is developed for the power system under investigation. This new linearization scheme allows one to transform the power system with a single-axis system model into a linear uncertain system with an unknown equilibrium. Based on the latest development of nonlinear robust control theory, a novel control design is then applied to stabilize the resulting linearized uncertain system. Finally, a nonlinear decentralized excitation control is obtained by the inverse transformation. Compared with existing control schemes, the proposed control is free from such common deficiencies of power system nonlinear controllers as network dependence and equilibrium dependence. Detailed stability analysis and engineering judgment in the control design are provided. The results of simulation studies are presented.
International Journal of Systems Science
"Multi machine power system excitation control design via theories of feedback linearization control and nonlinear robust control" (2000). Faculty Bibliography 2000s. 7858.