Article
Adaptive Neural Network Identifiers for Effective Control of Turbogenerators in a Multimachine Power System
Proceedings of the IEEE Power Engineering Society Winter Meeting, 2001
Abstract
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
Meeting Name
IEEE Power Engineering Society Winter Meeting, 2001
Department(s)
Electrical and Computer Engineering
Sponsor(s)
National Research Foundation, South AfricaNational Science Foundation (U.S.)
University of Natal
Keywords and Phrases
- Adaptive Identification,
- Artificial Neural Networks,
- Control,
- Multimachine Power System
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
8-1-2002
Publication Date
01 Aug 2002
Disciplines
Citation Information
Ganesh K. Venayagamoorthy, Ronald G. Harley and Donald C. Wunsch. "Adaptive Neural Network Identifiers for Effective Control of Turbogenerators in a Multimachine Power System" Proceedings of the IEEE Power Engineering Society Winter Meeting, 2001 (2002) Available at: http://works.bepress.com/donald-wunsch/125/