DocumentCode
338897
Title
A continually online trained artificial neural network identifier for a turbogenerator
Author
Venayagamoorthy, Ganesh K. ; Harley, Ronald G.
Author_Institution
Dept. of Electr. Eng., Natal Univ., Durban, South Africa
fYear
1999
fDate
36281
Firstpage
404
Lastpage
406
Abstract
The increasing complexity of modern power systems highlights the need for advanced modelling techniques for effective control of power systems. This paper presents results of simulation and practical studies carried out on identifying the dynamics of a single turbogenerator connected to an infinite bus through a short transmission line, using a continually online trained (COT) artificial neural network (ANN)
Keywords
control system analysis; learning (artificial intelligence); machine control; machine theory; neurocontrollers; parameter estimation; turbogenerators; computer simulation; continually online trained artificial neural network identifier; control simulation; dynamics identification; modelling techniques; power systems; short transmission line; turbogenerator control; Artificial neural networks; Mathematical model; Power system control; Power system dynamics; Power system modeling; Power system simulation; Transmission lines; Turbines; Turbogenerators; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Machines and Drives, 1999. International Conference IEMD '99
Conference_Location
Seattle, WA
Print_ISBN
0-7803-5293-9
Type
conf
DOI
10.1109/IEMDC.1999.769128
Filename
769128
Link To Document