Title :
Amplitude and frequency estimation during sudden generator disconnection using UKF
Author :
Novanda, H. ; Regulski, P. ; Terzija, Vladimir
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
fDate :
Oct. 30 2012-Nov. 2 2012
Abstract :
In this paper, an experiment involving a sudden generator disconnection in Faroe Islands power system is described. Three phase voltage and current signals were measured during the experiment. A novel parameter estimator based on Unscented Transformation (UT) and Kalman filter is implemented to estimate frequency and amplitude of the processed signals simultaneously. By avoiding the use of linearization procedures, UKF performs high estimation accuracy and lower computational demand compare to classical methods (i.e. FFT and EKF). This method has shown its immunity to high level of noise and is applicable for monitoring and protection purpose in power systems.
Keywords :
AC generators; Kalman filters; amplitude estimation; frequency estimation; nonlinear filters; power generation reliability; power system state estimation; Faroe Islands power system; UKF; amplitude estimation; frequency estimation; parameter estimator; power system monitoring; power system protection; sudden generator disconnection; three-phase current signal; three-phase voltage signal; unscented Kalman filter; unscented transformation; Educational institutions; Equations; Jacobian matrices; Monitoring; Frequency; amplitude estimation; power systems;
Conference_Titel :
Power System Technology (POWERCON), 2012 IEEE International Conference on
Conference_Location :
Auckland
Print_ISBN :
978-1-4673-2868-5
DOI :
10.1109/PowerCon.2012.6401296