Identification of SVC dynamics using wide area signals in a power system

Identification of SVC dynamics using wide area signals in a power system

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 intr...

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Bibliographische Detailangaben
Hauptverfasser: Jetti, S.R., Venayagamoorthy, G.K.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Adaptive control
Benchmark FACTS Power System
Neural Networks
Power generation
Power system dynamics
Power system simulation
Programmable control
Remote monitoring
Remote Signals
Signal design
Signal generators
Signal processing
Static VAr compensators
SVC
System Identification
Wide Area Monitor
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Beschreibung
Zusammenfassung: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
ISSN:1932-5517
DOI:10.1109/PES.2006.1709486