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
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
International Joint Conference on Neural Networks, 1999. IJCNN '99
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
Article - Conference proceedings
© 1999 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jan 1999