DocumentCode :
1686256
Title :
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
Link To Document :
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