Experimental verification of derivatives adaptive critic based neurocontroller performance on single turbogenerators on the electric power grid

Author

Venayagamoorthy, G.K. ; Harley, R.G. ; Wunsch, D.C.

Author_Institution

Sch. of Electr. & Electron. Eng., Natal Univ., Durban, South Africa

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

1802

Lastpage

1807

Abstract

The design and real-time implementation of derivatives adaptive critic based neurocontrollers that replace the conventional automatic voltage regulators (AVRs) and turbine governors are presented in this paper. The feedback variables to the neurocontroller are completely based on local measurements from the turbogenerator. Experimental verification results are presented to show the superior performance of the derivatives adaptive critic based neurocontroller, compared to the conventional AVR and turbine governor controllers equipped with a power system stabilizer

Keywords

adaptive control; control system synthesis; feedback; neurocontrollers; power generation control; real-time systems; turbogenerators; AVR; automatic voltage regulators; derivatives adaptive critic based neurocontroller performance; electric power grid; feedback variables; neurocontroller design; power system stabilizer; real-time neurocontroller implementation; turbine governors; turbogenerators; Adaptive control; Control systems; Neurocontrollers; Neurofeedback; Power system measurements; Programmable control; Regulators; Turbines; Turbogenerators; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1007792

Filename

1007792