Decentralized Steam-Valving Adaptive Neural Control of Multi-machine Power Systems

Author

Xiurong Zhong ; Cong Wang ; Yuelong Liu

Author_Institution

Control & Optimization Center & Coll. of Autom., South China Univ. of Technol., Guangzhou, China

fYear

2006

fDate

7-11 Aug. 2006

Firstpage

1162

Lastpage

1166

Abstract

In this paper, an adaptive neural control scheme is proposed for multi-machine steam-valving power systems. The multi-machine steam-valving power systems consist of interconnected subsystems, with coupling in the form of unknown nonlinearities and parametric uncertainties. Using the adaptive neural control method by S. S. Ge and Cong Wang, A (2004), the coupling problem between subsystems can be solved without linearization treatment. Semi-global ultimate boundedness of all the signals in the closed-loop system are obtained. The outputs of the closed-loop system are proven to converge to a small neighborhood of the desired trajectories. Simulation results of two-machine power systems are presented as an example to show the effectiveness of the approach.

Keywords

adaptive control; closed loop systems; machine control; neurocontrollers; power system control; power system interconnection; backstepping technique; closed-loop system; coupling problem; interconnected subsystem; machine power system; multimachine power systems; steam-valving adaptive neural control; Adaptive control; Control systems; Power system control; Power system modeling; Power system simulation; Power system stability; Power system transients; Power systems; Programmable control; Turbines; Adaptive neural control; backstepping; multimachine power systems; steam-valving control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2006. CCC 2006. Chinese

Conference_Location

Harbin

Print_ISBN

7-81077-802-1

Type

conf

DOI

10.1109/CHICC.2006.280532

Filename

4060263