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Title: Real-time dual heuristic programming-based neurocontroller for a turbogenerator in a multimachine power system
Author (s): Venayagamoorthy, Ganesh K.
Harle, Ronald G.
Wunsch, Donald C.
Department/Lab Affiliations: Applied Computational Intelligence Laboratory
Electrical and Computer Engineering
Keywords: Dual Heuristic Programming (DHP)
dynamic performance
multimachine power system
neurocontroller
Issue Date: 2005
Publisher: CLR Publishing
Citation: Venayagamoorthy, Ganesh K., Harle Ronald G., and Wunsch Donald C. "Real-Time Dual Heuristic Programming-Based Neurocontroller for a Turbogenerator in a Multimachine Power System." Engineering Intelligent Systems Journal, 2, (2005).
Abstract: Based on Dual Heuristic Programming (DHP), a real-time implementation of a neurocontroller for excitation and turbine control of a turbogenerator in a multimachine power system is presented. The feedback variables are completely based on local measurements. Simulation and real-time hardware implementation on a three-machine system demonstrate that the DHP neurocontroller is much more effective than conventional PID controllers, the automatic voltage regulator, power system stabilizer and the governor, for improving dynamic performance and stability under small and large disturbances.
Type: Article - Journal
text
In Title: Engineering Intelligent Systems Journal
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titleReal-time dual heuristic programming-based neurocontroller for a turbogenerator in a multimachine power system
contributor.authorVenayagamoorthy, Ganesh K.
contributor.authorHarle, Ronald G.
contributor.authorWunsch, Donald C.
contributor.deptlabApplied Computational Intelligence Laboratory
contributor.deptlabElectrical and Computer Engineering
subjectDual Heuristic Programming (DHP)
subjectdynamic performance
subjectmultimachine power system
subjectneurocontroller
date.issued2005
publisherCLR Publishing
identifier.citationVenayagamoorthy, Ganesh K., Harle Ronald G., and Wunsch Donald C. "Real-Time Dual Heuristic Programming-Based Neurocontroller for a Turbogenerator in a Multimachine Power System." Engineering Intelligent Systems Journal, 2, (2005).
identifier.pub.URI
http://cat.inist.fr/?aModele=afficheN&cpsidt=16915396
description.abstractBased on Dual Heuristic Programming (DHP), a real-time implementation of a neurocontroller for excitation and turbine control of a turbogenerator in a multimachine power system is presented. The feedback variables are completely based on local measurements. Simulation and real-time hardware implementation on a three-machine system demonstrate that the DHP neurocontroller is much more effective than conventional PID controllers, the automatic voltage regulator, power system stabilizer and the governor, for improving dynamic performance and stability under small and large disturbances.
typeArticle - Journal
type.DCMITypetext
type.statusFinal version
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
rights.URI
http://www.crlpublishing.co.uk/journal.asp?j=eis&s=Notes%20for%20Authors
relation.isPartOfEngineering Intelligent Systems Journal
date.accessioned2007-04-11T17:00:48Z
date.available2008-03-20T15:49:46Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/RealTimeDualHeuristicProgrammingBasedNeurocon_09007dcc804c0338.html