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Title: Dual-function neuron-based external controller for a static var compensator
Author (s): Venayagamoorthy, Ganesh K.
Jetti, Sandhya Rani
Department/Lab Affiliations: Electrical and Computer Engineering
Keywords: damping controller
dual-function neuron (DFN)
real-time digital simulator (RTDS)
static var compensator (SVC)
wide-area measurements
Issue Date: 2008-04
Publisher: Institute of Electrical and Electronics Engineers IEEE
Citation: Venayagamoorthy, Ganesh K. and Sandhya R. Jetti. "Dual-Function Neuron-Based External Controller for a Static Var Compensator", IEEE Transactions on Power Delivery, vol. 23, no.2, pp. 997-1006, 2008.
Abstract: The use of wide-area measurements for power system stabilization has recently been given a lot of attention by researchers and the power industry to avoid cascading failures and blackouts, such as the one in North America in August 2003. This paper presents the design of a nonlinear external damping controller based on wide-area measurements as inputs to a single dual-function neuron (DFN)-based controller. This DFN controller is specifically designed to enhance the damping characteristics of a power system over a wide range of operating conditions using an existing static var compensator (SVC) installation. The major advantage of the DFN controller is that it is simple in structure with less development time and hardware requirements for real-time implementation. The DFN controller presented in this paper is realized on a digital signal processor and its performance is evaluated on the 12-bus flexible ac transmission system benchmark test power system implemented on a real-time platform-the real-time digital simulator. Experimental results show that the DFN controller provides better damping than a conventional linear external controller and requires less SVC reactive power. The damping performance of the DFN controller is also illustrated using transient energy calculations.
Type: Article - Journal
text
In Title: IEEE Transactions on Power Delivery
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titleDual-function neuron-based external controller for a static var compensator
contributor.authorVenayagamoorthy, Ganesh K.
contributor.authorJetti, Sandhya Rani
contributor.deptlabElectrical and Computer Engineering
contributor.sponsorNational Science Foundation
subjectdamping controller
subjectdual-function neuron (DFN)
subjectreal-time digital simulator (RTDS)
subjectstatic var compensator (SVC)
subjectwide-area measurements
date.issued2008-04
publisherInstitute of Electrical and Electronics Engineers IEEE
identifier.citationVenayagamoorthy, Ganesh K. and Sandhya R. Jetti. "Dual-Function Neuron-Based External Controller for a Static Var Compensator", IEEE Transactions on Power Delivery, vol. 23, no.2, pp. 997-1006, 2008.
identifier.pub.URI
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4431886
description.abstractThe use of wide-area measurements for power system stabilization has recently been given a lot of attention by researchers and the power industry to avoid cascading failures and blackouts, such as the one in North America in August 2003. This paper presents the design of a nonlinear external damping controller based on wide-area measurements as inputs to a single dual-function neuron (DFN)-based controller. This DFN controller is specifically designed to enhance the damping characteristics of a power system over a wide range of operating conditions using an existing static var compensator (SVC) installation. The major advantage of the DFN controller is that it is simple in structure with less development time and hardware requirements for real-time implementation. The DFN controller presented in this paper is realized on a digital signal processor and its performance is evaluated on the 12-bus flexible ac transmission system benchmark test power system implemented on a real-time platform-the real-time digital simulator. Experimental results show that the DFN controller provides better damping than a conventional linear external controller and requires less SVC reactive power. The damping performance of the DFN controller is also illustrated using transient energy calculations.
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.
rightsallows publisher's final version to be uploaded
rights.URI
http://www.ieee.org/portal/cms_docs_iportals/iportals/publications/rights/downloads/IEEECForm121302pdf.pdf
rights.URI
http://www.ieee.org/web/publications/rights/index.html
rights.URI
http://www.ieee.org/web/publications/rights/policies.html
relation.isPartOfIEEE Transactions on Power Delivery
date.accessioned2008-06-30T19:24:05Z
date.available2008-07-03T18:44:48Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/Dual-FunctionNeuron-BasedExternalControllerFor_09007dcc80529ee5.html
Full Text
ADualFunctionNeuron_09007dcc80529fa1.pdf