Adaptive Neural Network Identifiers for Effective Control of Turbogenerators in a Multimachine Power System

Ganesh K. Venayagamoorthy, Missouri University of Science and Technology
Ronald G. Harley
Donald C. Wunsch, Missouri University of Science and Technology

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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