A heuristic dynamic programming based power system stabilizer for a turbogenerator in a single machine power system

Author

Liu, Wenxin ; Venayagamoorthy, Ganesh K. ; Wunsch, Donald C., II

Author_Institution

Dept. of Electr. & Comput. Eng., Missouri Univ., Rolla, MO, USA

Volume

1

fYear

2003

fDate

12-16 Oct. 2003

Firstpage

270

Abstract

Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system in order to damp the low frequency power system oscillations. To overcome the drawbacks of conventional PSS (CPSS), numerous techniques have been proposed in the literature. Based on the analysis of existing techniques, a novel design of power system stabilizer (PSS) based on heuristic dynamic programming (HDP) is proposed in this paper. HDP combining the concepts of dynamic programming and reinforcement learning is used in the design of a nonlinear optimal power system stabilizer. The proposed HDP based PSS is evaluated against the conventional power system stabilizer and indirect adaptive neurocontrol based PSS under small and large disturbances in a single machine infinite bus power system setup. Results are presented to show the effectiveness of this new technique.

Keywords

adaptive control; damping; dynamic programming; learning (artificial intelligence); neurocontrollers; nonlinear control systems; optimal control; power system control; power system stability; turbogenerators; excitation system; heuristic dynamic programming; indirect adaptive neurocontrol; infinite bus power system; low frequency power system oscillations damping; nonlinear optimal power system stabilizer; power system stabilizer; reinforcement learning; single machine power system; supplementary control signals; turbogenerator; Control systems; Dynamic programming; Frequency; Power generation; Power system analysis computing; Power system control; Power system dynamics; Power systems; Signal generators; Turbogenerators;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Conference, 2003. 38th IAS Annual Meeting. Conference Record of the

Print_ISBN

0-7803-7883-0

Type

conf

DOI

10.1109/IAS.2003.1257513

Filename

1257513