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.
G. K. Venayagamoorthy and S. R. Jetti, "Identification of SVC Dynamics Using Wide Area Signals in a Power System," Proceedings of the IEEE Power Engineering Society General Meeting, 2006, Institute of Electrical and Electronics Engineers (IEEE), Jan 2006.
The definitive version is available at https://doi.org/10.1109/PES.2006.1709486
IEEE Power Engineering Society General Meeting, 2006
Electrical and Computer Engineering
Keywords and Phrases
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
Article - Conference proceedings
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