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A method for predictive out-of-step tripping based on synchrophasors

A method for predictive out-of-step tripping based on synchrophasors

Kategori
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Sammendrag
This paper presents a method for predictive out-of-step (OOS) tripping based on synchrophasors. The OOS condition is
predicted based on information of the ongoing power oscillation, where the input signal can be either the phase angle between
two nodes in the power grid or the current magnitude of a line. The proposed algorithm first detects power swing by comparing
the oscillation magnitude with a set threshold. Once a power swing is detected, a damping coefficient associated to the power
oscillation is estimated to assess its stability. The oscillation is predicted unstable and eventually will lead to OOS condition
when both the damping coefficient and the input signal are larger than set thresholds. The tuning of these thresholds is relatively
simple and straightforward. Results from simulations in the Kundur system and the Nordic 44 model demonstrate that the
proposed algorithm is able to correctly predict coming OOS conditions from the analysis of power swings in the power grid.
Oppdragsgiver
  • Research Council of Norway (RCN) / 280967
Språk
Engelsk
Forfatter(e)
Institusjon(er)
  • SINTEF Energi AS / Energisystemer
År
Forlag
Institution of Engineering and Technology (IET)
Bok
15th International Conference on Development in Power System Protection 2020 - DPSP
ISBN
978-1-83953-277-1