Open AccessDigital filter for phasor estimation applied to distance relays
Author(s) -
Zamora Alejandro,
Ramirez Juan M.,
Arrieta Paternina Mario R.,
VazquezMartinez Ernesto
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2014.1220
Subject(s) - phasor , control theory (sociology) , kalman filter , extended kalman filter , digital filter , transient (computer programming) , filter (signal processing) , computer science , fourier transform , fault (geology) , mathematics , algorithm , electric power system , physics , artificial intelligence , mathematical analysis , power (physics) , control (management) , quantum mechanics , computer vision , seismology , operating system , geology
The transient response of the digital filter for relaying purposes has been improved by means of the Taylor–Kalman–Fourier (TKF) filter. This filter is focused on a dynamic phasor, which is adapted to the transient operating conditions and is based on a signal model that is approximated by the K th Taylor polynomial. This model is extended to the Kalman and Fourier subspaces in order to provide instantaneous estimates through its recursive property. The TKF renders instantaneous phasor estimates at each sample and enhances the impedance estimation under fault conditions. This fact and the results demonstrate the applicability of the proposition for distance relays.