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Title: Optimal design of SVC damping controllers with wide area measurements using small population based PSO
Author (s): Das, T.K.
Jetti, S.R.
Venayagamoorthy, Ganesh K.
Department/Lab Affiliations: Electrical and Computer Engineering
Real-Time Power and Intelligent Systems Laboratory
Issue Date: 2006
Publisher: Institute of Electrical and Electronics Engineers
Citation: Das, T.K.; Jetti, S.R.; Venayagamoorthy, G.K. "Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO" IJCNN '06. International Joint Conference on Neural Networks, 2006. 16-21 July 2006 Pages: 2255- 2260
Abstract: Static Var Compensator (SVC) are employed for providing better voltage regulation and transient stability especially for increased power transfer through the transmission lines. In this paper, two SVC damping controllers with single and dual inputs respectively are designed based on wide area measurements of generator speed deviations. A Small Population based Particle Swarm Optimization algorithm (SPPSO) is applied to determine the optimal parameters of the damping controllers for small and large disturbances. Simulation results are provided to show that the effectiveness of the optimal damping controllers on the Kundur''s two-area benchmark power system. Results show the dual input controller further improves the damping provided by the single input controller.
Type: Article - Conference proceedings
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titleOptimal design of SVC damping controllers with wide area measurements using small population based PSO
contributor.authorDas, T.K.
contributor.authorJetti, S.R.
contributor.authorVenayagamoorthy, Ganesh K.
contributor.deptlabElectrical and Computer Engineering
contributor.deptlabReal-Time Power and Intelligent Systems Laboratory
date.issued2006
date.submitted2007
publisherInstitute of Electrical and Electronics Engineers
identifier.citationDas, T.K.; Jetti, S.R.; Venayagamoorthy, G.K. "Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO" IJCNN '06. International Joint Conference on Neural Networks, 2006. 16-21 July 2006 Pages: 2255- 2260
identifier.pub.URI
http://ieeexplore.ieee.org/iel5/11216/36115/01716392.pdf?arnumber=171639
description.abstractStatic Var Compensator (SVC) are employed for providing better voltage regulation and transient stability especially for increased power transfer through the transmission lines. In this paper, two SVC damping controllers with single and dual inputs respectively are designed based on wide area measurements of generator speed deviations. A Small Population based Particle Swarm Optimization algorithm (SPPSO) is applied to determine the optimal parameters of the damping controllers for small and large disturbances. Simulation results are provided to show that the effectiveness of the optimal damping controllers on the Kundur''s two-area benchmark power system. Results show the dual input controller further improves the damping provided by the single input controller.
typeArticle - Conference proceedings
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.ieee.org/web/publications/rights/policies.html
date.accessioned2007-04-05T14:28:16Z
date.available2007-04-05T14:28:16Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/01716392_09007dcc8030db8a.html
Full Text
01716392_09007dcc8030db8f.pdf