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| Title: | Identification of SVC dynamics using wide area signals in a power system | |
| Author (s): | Jetti, S.R. Venayagamoorthy, Ganesh K. | |
| Department/Lab Affiliations: | Electrical and Computer Engineering Real-Time Power and Intelligent Systems Laboratory | |
| Keywords: | 12 bus FACTS benchmark system Benchmark FACTS Power System Neural Networks Remote Signals SVC SVC controller design System Identification Wide Area Monitor control system synthesis distribution networks electric generators flexible AC transmission systems generator speed deviations interarea oscillation damping monitoring online identification power network power system power system measurement predict-correct method predictor-corrector methods remote area signals static VAr compensators static var compensator transmission networks wide area monitor | |
| Issue Date: | 2006 | |
| Publisher: | Institute of Electrical and Electronics Engineers | |
| Citation: | Jetti, S.R.; Venayagamoorthy, G.K. "Identification of SVC dynamics using wide area signals in a power system" IEEE Power Engineering Society General Meeting, 2006. 18-22 June 2006 Pages: 6 pp. | |
| Abstract: | This paper presents the design of a wide area monitor (WAM) using remote area signals, such as speed deviations of generators in a power network, for identifying online the dynamics of a static var compensator (SVC). The design of the WAM is studied on the 12 bus FACTS benchmark system recently introduced. A predict-correct method is used to enhance the performance of the WAM during online operation. Simulation results are presented to show that WAM can correctly identify the dynamics of SVC in a power system for small and large disturbances. Such WAMs can be applied in the design of adaptive SVC controllers for damping interarea oscillations in power networks. | |
| Type: | Article - Conference proceedings text | |
| Copyright Notice: | This 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. FULL COPYRIGHT INFORMATION: | |
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| title | Identification of SVC dynamics using wide area signals in a power system | |
| contributor.author | Jetti, S.R. | |
| contributor.author | Venayagamoorthy, Ganesh K. | |
| contributor.deptlab | Electrical and Computer Engineering | |
| contributor.deptlab | Real-Time Power and Intelligent Systems Laboratory | |
| subject | 12 bus FACTS benchmark system | |
| subject | Benchmark FACTS Power System | |
| subject | Neural Networks | |
| subject | Remote Signals | |
| subject | SVC | |
| subject | SVC controller design | |
| subject | System Identification | |
| subject | Wide Area Monitor | |
| subject | control system synthesis | |
| subject | distribution networks | |
| subject | electric generators | |
| subject | flexible AC transmission systems | |
| subject | generator speed deviations | |
| subject | interarea oscillation damping | |
| subject | monitoring | |
| subject | online identification | |
| subject | power network | |
| subject | power system | |
| subject | power system measurement | |
| subject | predict-correct method | |
| subject | predictor-corrector methods | |
| subject | remote area signals | |
| subject | static VAr compensators | |
| subject | static var compensator | |
| subject | transmission networks | |
| subject | wide area monitor | |
| date.issued | 2006 | |
| date.submitted | 2007 | |
| publisher | Institute of Electrical and Electronics Engineers | |
| identifier.citation | Jetti, S.R.; Venayagamoorthy, G.K. "Identification of SVC dynamics using wide area signals in a power system" IEEE Power Engineering Society General Meeting, 2006. 18-22 June 2006 Pages: 6 pp. | |
| identifier.pub.URI | ||
| description.abstract | This paper presents the design of a wide area monitor (WAM) using remote area signals, such as speed deviations of generators in a power network, for identifying online the dynamics of a static var compensator (SVC). The design of the WAM is studied on the 12 bus FACTS benchmark system recently introduced. A predict-correct method is used to enhance the performance of the WAM during online operation. Simulation results are presented to show that WAM can correctly identify the dynamics of SVC in a power system for small and large disturbances. Such WAMs can be applied in the design of adaptive SVC controllers for damping interarea oscillations in power networks. | |
| type | Article - Conference proceedings | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This 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 | ||
| date.accessioned | 2007-04-05T14:27:59Z | |
| date.available | 2007-04-05T14:27:58Z | |
| identifier.persist.URI | ||
| Full Text |
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