Estimation of Radial Power System Transfer Path Dynamic Parameters Using Synchronized Phasor Data

• Published in: IEEE transactions on power systems Vol. 23; no. 2; pp. 564 - 571
• Main Authors: Chow, J.H., Chakrabortty, A., Vanfretti, L., Arcak, M.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2008; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Buses (vehicles); Current measurement; Disturbances; Dynamical systems; Dynamics; Electric potential; Frequency synchronization; Impedance; inertia extrapolation; interarea oscillations; Mathematical models; Oscillations; phasor measurement; Power measurement; Power system dynamics; Power system measurements; power system model reduction; Power system modeling; Power systems; power transfer interface; reactance extrapolation; Technological innovation; Voltage; Voltage measurement; power system measurement; measurement-based method; multimachine power system; phase measurement; bus frequency oscillations; interarea dynamics; model reduction techniques; synchronized bus voltage phasor measurements; two-machine reduced model; radial power system transfer path dynamic parameters; interarea oscillation components; small-signal perturbation approach; synchronized phasor data
• ISSN: 0885-8950; 1558-0679; 1558-0679
• DOI: 10.1109/TPWRS.2008.919315

This paper develops a measurement-based method for estimating a two-machine reduced model to represent the interarea dynamics of a radial, multimachine power system. The method uses synchronized bus voltage phasor measurements at two buses and the line current on the power transfer path. The innovation is the application of the interarea oscillation components in the voltage variables resulting from disturbances for extrapolating system impedances and inertias beyond the measured buses. Expressions for the amplitudes of the bus voltage and bus frequency oscillations as functions of the location on the transmission path are derived from a small-signal perturbation approach. The reduced model provides approximate response to disturbances on the transfer path and offers an alternative to model reduction techniques based on detailed system models and data.