DocumentCode :
1381750
Title :
A Dynamic Synchrophasor Estimation Algorithm for Online Application
Author :
Mai, R.K. ; He, Z.Y. ; Fu, Ling ; Kirby, Brian ; Bo, Zhi Qian
Author_Institution :
Dept. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China
Volume :
25
Issue :
2
fYear :
2010
fDate :
4/1/2010 12:00:00 AM
Firstpage :
570
Lastpage :
578
Abstract :
A new algorithm for synchrophasor estimation is proposed to improve estimation accuracy under dynamic conditions. The real component of a constantly rotating vector and a low-frequency band-limited vector, which is linearized by Taylor series, is employed to model supplied signals in power systems. And dynamic characteristics of power systems are described in form of Taylor series´ derivatives, which are calculated through consecutive phasors. The accuracy of phasor estimation was dramatically improved by the reassignment of estimation of short-time Fourier transform (STFT) with knowledge of these derivatives. Simulation results allow us to make the conclusion that the proposed algorithm improves the accuracy of phasor estimations under dynamic conditions dramatically, such as frequency ramping, low frequency oscillation, etc., at the cost of the calculation burden is a minimal increase whilst still meeting the requirements of the application for power systems.
Keywords :
Fourier transforms; frequency estimation; phase measurement; power system faults; power system measurement; power system state estimation; STFT; Taylor series; constantly rotating vector; dynamic synchrophasor estimation algorithm; low frequency oscillation; low-frequency band-limited vector; online application; phasor estimation; power systems dynamic characteristics; short-time Fourier transform; Finite impulse response (FIR) filter; Taylor series; frequency deviation; phasor measurement units (PMUs); power system oscillation; short-time Fourier transform (STFT); synchrophasor; total vector error (TVE);
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2009.2034293
Filename :
5382494
Link To Document :
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