This paper provides a novel method for nonlinear identification of multiple turbogenerators in a five-machine 12-bus power system using continually online trained (COT) artificial neural networks (ANNs). Each turbogenerator in the power system is equipped with all adaptive ANN identifier, which is able to identify/model its particular turbogenerator and rest of the network to which it is connected from moment to moment, based on only local measurements. Each adaptive ANN turbogenerator can be used in the design of a nonlinear controller for each turbogenerator in a multimachine power system. Simulation results for the adaptive ANN identifiers are presented
G. K. Venayagamoorthy et al., "Adaptive Neural Network Identifiers for Effective Control of Turbogenerators in a Multimachine Power System," Proceedings of the IEEE Power Engineering Society Winter Meeting, 2001, Institute of Electrical and Electronics Engineers (IEEE), Aug 2002.
The definitive version is available at http://dx.doi.org/10.1109/PESW.2001.917265
IEEE Power Engineering Society Winter Meeting, 2001
Electrical and Computer Engineering
National Research Foundation, South Africa
National Science Foundation (U.S.)
University of Natal
Keywords and Phrases
Adaptive Identification; Artificial Neural Networks; Control; Multimachine Power System
Article - Conference proceedings
© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.