Artificial Neural Networks for Identifying Turbogenerators in a Multimachine Power System
Abstract
This paper provides a new technique 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 a COT ANN identifier, which is able to identigy its particular turbogenerator and the rest of the network, to which it is connected from moment to moment, based only on local measurements. Each COT ANN identifier can be used in the design of a nonlinear controller for each turbogenerator in a multimachine power system. Simulation results for the COT ANN identifiers are presented.
Recommended Citation
G. K. Venayagamoorthy et al., "Artificial Neural Networks for Identifying Turbogenerators in a Multimachine Power System," Proceedings of the Tenth Southern African Universities' Power Engineering Conference SAUPEC 2001 : University of Cape Town, Rondebosch, 24/25 January 2001, pp. 258 - 261, University of Cape Town (South Africa), Jan 2001.
Meeting Name
Tenth Southern African Universities' Power Engineering Conference (SAUPEC 2001) (2001: Jan. 24-25, Cape Town, South Africa)
Department(s)
Electrical and Computer Engineering
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2001 University of Cape Town (South Africa), All rights reserved.
Publication Date
01 Jan 2001
