DocumentCode
3104935
Title
A derivative based instantaneous frequency tracking algorithm
Author
Zhang, Chao ; Tan, Jianchen ; Kirby, Brian ; Bo, Zhiqian
Author_Institution
Guangxi Univ., Manning
fYear
2008
fDate
1-4 Sept. 2008
Firstpage
1
Lastpage
3
Abstract
Frequency is an important parameter for power system operation and protection. A frequency-tracking algorithm is presented for its fast and accurate measurement, which combines second derivative with linear approximation based on the sinusoidal characteristics of an AC signal and supplements a posteriori error processing. A Lagrange Polynomial-Fitting technique is used to calculate the second derivative, whilst an error compensation rate and a modifying factor are introduced to increase algorithm accuracy. The remainder of the fitting polynomial is analyzed, with the samples acquired in a half cycle data window filtered by equal ratios theorem to enhance the robustness, as well as the real time performance. Matlab simulation results show that the algorithm is suitable for instantaneous power system frequency tracking with high accuracy and a certain suppression of second harmonic interference.
Keywords
approximation theory; discrete Fourier transforms; interference suppression; load shedding; power system protection; Lagrange polynomial-fitting; Matlab simulation; discrete Fourier transforms; error compensation rate; frequency tracking; half cycle data window; harmonic interference suppression; linear approximation; load shedding; modifying factor; power system protection; Approximation algorithms; Frequency measurement; Linear approximation; Polynomials; Power harmonic filters; Power system harmonics; Power system measurements; Power system protection; Power system simulation; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Universities Power Engineering Conference, 2008. UPEC 2008. 43rd International
Conference_Location
Padova
Print_ISBN
978-1-4244-3294-3
Electronic_ISBN
978-88-89884-09-6
Type
conf
DOI
10.1109/UPEC.2008.4651517
Filename
4651517
Link To Document