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Conference paper information

Representative contingency identification using data mining

L. Sigrist, I. Egido, E.F. Sánchez-Úbeda, L. Rouco

25th IEEE Convention of Electrical and Electronics Engineers in Israel - IEEEI 2008, Eilat (Israel). 03-05 December 2008


Summary:

This paper studies the damping of electromechanical oscillations making use of both the ratio and phase modulation capabilities of static synchronous series sources. The design of the static synchronous series source damping controllers is addressed using eigenvalue sensitivities. The eigenvalue sensitivity with respect to a parameter of a feedback controller estimates the eigenvalue shift when such parameter is changed. The controller design comprises two steps: the design of the phase compensation network and the calculation of the controller gain. A combined method is developed to take advantage of both ratio and phase modulating capabilities of static synchronous series sources. Once the phase controller has been designed and incorporated into the system model, the ratio controller has to be designed taking into account the effect of the phase controller due to the direct relationship between the input of the ratio controller and the phase itself. The suggested approach is illustrated in a simple test system.


Keywords: Flexible AC Transmission Systems, Static synchronous series sources, Small Signal Stability, Eigenvalue Sensitivities, Controller design


DOI: DOI icon https://doi.org/10.1109/EEEI.2008.4736646

Published in IEEEI 2008, pp: 792-796, ISBN: 978-1-4244-2481-8

Publication date: 2009-01-06.



Citation:
L. Sigrist, I. Egido, E.F. Sánchez-Úbeda, L. Rouco, Representative contingency identification using data mining, 25th IEEE Convention of Electrical and Electronics Engineers in Israel - IEEEI 2008, Eilat (Israel). 03-05 December 2008. In: IEEEI 2008: Conference proceedings, ISBN: 978-1-4244-2481-8


    Research topics:
  • *Stability: Large disturbance stability, tuning of frequency loadshedding schemes, excitation control, small disturbance stability, tuning of power system stabilizers, identification of AVR and governor models
  • *Forecasting and Data Mining

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