Title :
Nonlinear adaptive decentralized stabilizing control of multimachine systems
Author :
Hu, Wei ; Lu, Qiang ; MEI, Shengwei ; Gao, Guanghua
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Abstract :
This paper describes a design approach to nonlinear adaptive control system with unknown parameters and applies it to the excitation control of power systems. The adaptive control strategy is formed by recursive method without involving transformation of linearization. The characteristic of the controller is that it involves a dynamic estimator of parameters. A general expression of nonlinear adaptive decentralized excitation control strategy for multimachine systems is acquired, in which all of the feedback variables are local measurements. Simulation results on a 6-machines, 22-buses system manifests the validity of the nonlinear adaptive controllers
Keywords :
adaptive control; decentralised control; feedback; nonlinear control systems; power system control; power system parameter estimation; power system stability; adaptive control; decentralized control; excitation control; feedback; multimachine systems; nonlinear control system; parameter estimation; power systems; stabilization; Adaptive control; Control systems; Genetic expression; Nonlinear control systems; Nonlinear dynamical systems; Parameter estimation; Power system control; Power system dynamics; Power systems; Programmable control;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.859911