Abstract
This paper presents the design of a continually online trained (COT) artificial neural network (ANN) controller for a laboratory turbogenerator system connected to the infinite bus through a transmission line in real time. Two COT ANNs are used for the implementation: one ANN to identify the complex nonlinear dynamics of the power system, and the other ANN to control the turbogenerator. Practical results are presented to show that COT ANN controllers can control turbogenerators under steady state as well as transient conditions in the laboratory environment
Recommended Citation
G. K. Venayagamoorthy and R. G. Harley, "Experimental Studies with a Continually Online Trained Artificial Neural Network Controller for a Turbogenerator," Proceedings of the International Joint Conference on Neural Networks, 1999. IJCNN '99, Institute of Electrical and Electronics Engineers (IEEE), Jan 1999.
The definitive version is available at https://doi.org/10.1109/IJCNN.1999.832722
Meeting Name
International Joint Conference on Neural Networks, 1999. IJCNN '99
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Continually Online Trained Neural Net; Dynamics; Infinite Bus; Neurocontrollers; Nonlinear Dynamics; Power System Control; Power System Identification; Transient Response; Turbogenerators
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 1999 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 1999
