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Title: Adaptive critic designs for optimal control of power systems
Author (s): Venayagamoorthy, Ganesh K.
Harley, R.G.
Department/Lab Affiliations: Electrical and Computer Engineering
Real-Time Power and Intelligent Systems Laboratory
Keywords: adaptive control
adaptive critic design
adaptive neurocontrol
approximate dynamic programming
excitation control
flexible AC transmission systems
load flow control
neural network
neurocontrollers
optimal control
optimal neurocontrol
power system control
reinforcement learning
turbine control
voltage control
Issue Date: 2005
Publisher: Institute of Electrical and Electronics Engineers
Citation: Venayagamoorthy, G.K.; Harley, R.G., "Adaptive critic designs for optimal control of power systems" Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, 2005. pp. 13 pp.-, 6-10 Nov. 2005
Abstract: The increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of excitation, turbine and flexible AC transmission systems (FACTS). The crucial factors affecting the modern power systems today is voltage and load flow control. Simulation studies in the PSCAD/EMTDC environment and realtime laboratory experimental studies carried out are described and the results show the successful control of the power system elements and the entire power system with adaptive and optimal neurocontrol schemes. Performances of the neurocontrollers are compared with the conventional PI controllers for damping under different operating conditions for small and large disturbances.
Type: Article - Conference proceedings
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titleAdaptive critic designs for optimal control of power systems
contributor.authorVenayagamoorthy, Ganesh K.
contributor.authorHarley, R.G.
contributor.deptlabElectrical and Computer Engineering
contributor.deptlabReal-Time Power and Intelligent Systems Laboratory
subjectadaptive control
subjectadaptive critic design
subjectadaptive neurocontrol
subjectapproximate dynamic programming
subjectexcitation control
subjectflexible AC transmission systems
subjectload flow control
subjectneural network
subjectneurocontrollers
subjectoptimal control
subjectoptimal neurocontrol
subjectpower system control
subjectreinforcement learning
subjectturbine control
subjectvoltage control
date.issued2005
date.submitted2007
publisherInstitute of Electrical and Electronics Engineers
identifier.citationVenayagamoorthy, G.K.; Harley, R.G., "Adaptive critic designs for optimal control of power systems" Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, 2005. pp. 13 pp.-, 6-10 Nov. 2005
identifier.pub.URI
http://ieeexplore.ieee.org/iel5/10658/33627/01599253.pdf?arnumber=159925
description.abstractThe increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of excitation, turbine and flexible AC transmission systems (FACTS). The crucial factors affecting the modern power systems today is voltage and load flow control. Simulation studies in the PSCAD/EMTDC environment and realtime laboratory experimental studies carried out are described and the results show the successful control of the power system elements and the entire power system with adaptive and optimal neurocontrol schemes. Performances of the neurocontrollers are compared with the conventional PI controllers for damping under different operating conditions for small and large disturbances.
typeArticle - Conference proceedings
type.DCMITypetext
type.statusFinal version
type.statusPostprint
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.ieee.org/web/publications/rights/policies.html
date.accessioned2007-04-05T14:26:14Z
date.available2007-04-05T14:26:14Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/01599253_09007dcc8030d93d.html
Full Text
01599253_09007dcc8030d942.pdf