Abstract
This paper proposes a new and a novel technique based on Artificial Neural Networks (ANNs) for nonlinear model of turbogenerators in a multi-machine power system. Only local measurements are required by each ANN in this new method, and hence it is called decentralized neuro-identificiation. Each turbogenerator in the power system is quipped with an ANN which is able to identify (or model) its particular turbogenerator from moment to moment This information can then be used by a second ANN at each generator to enable effective control of the nonlinear non-stationary process under all operating conditions. Simulation results are presented in this paper to show the potential of this new technique for designing fkture nonlinear ANN controllers.
Recommended Citation
G. K. Venayagamoorthy and R. G. Harley, "Decentralized Online Neuro-Identification of Turbogenerators in a Multi-Machine Power System," Proceedings of the IEEE Power Engineering Society Summer Meeting, 2000, Institute of Electrical and Electronics Engineers (IEEE), Jan 2000.
The definitive version is available at https://doi.org/10.1109/PESS.2000.867502
Meeting Name
IEEE Power Engineering Society Summer Meeting, 2000
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Ad Hoc Networking; Link Layer; Mobile Computing; Mobile Networking; Mobile Radio; Multicast Communication; Multicasting; Routing; Telecommunication Network Routing
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2000 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2000
