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 Africa
National 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.

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