Title

Online Identificaiton of Turbogenerators in a Multimachine Power System Using Radial Basis Function Neural Networks

Abstract

The electric power system is a complex nonlinear time varying system that needs advanced intelligent techniques for online system identification and modeling in order to control the turbogenerators in a more efficient and fast manner. This paper shows the use radial basis function neural networks (RBFNNS) to carry out online identification of turbogenerators in an multimachine power system. Simulation results show that two separate RBFNNs can be used to identify the speed and terminal voltage deviations of the turbogenerators when subjected to changes in operating points and conditions.

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Electric Power System; Multimachine Power System

Library of Congress Subject Headings

Turbogenerators

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2002 American Society of Mechanical Engineers (ASME), All rights reserved.


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