TY - GEN
T1 - Fast frequency and phase estimation in three phase power systems
AU - Chen, Zhu
AU - Sahinoglu, Zafer
AU - Li, Hongbin
PY - 2013
Y1 - 2013
N2 - In this paper, we investigate the fundamental frequency and phase estimation problem in a balanced three-phase power system with harmonic distortion. An estimation algorithm that can rapidly track the fast-changing frequency and phase by using quarter cycle samples are proposed. Specifically, the data model in the three-phase power system is first converted to the noise-corrupted single phase harmonic signal model by using the Clarke transformation. A new weighted least squares (WLS) parameter estimator, which refines the initial estimates from the standard estimation techniques, is computed by utilizing the harmonic structure of the signal. Since the initial estimates become unreliable with limited samples, we proposed an iterative algorithm to polish the initial estimates for WLS. Numerical results show that the proposed estimator outperforms the conventional estimators, especially in a data-limited case.
AB - In this paper, we investigate the fundamental frequency and phase estimation problem in a balanced three-phase power system with harmonic distortion. An estimation algorithm that can rapidly track the fast-changing frequency and phase by using quarter cycle samples are proposed. Specifically, the data model in the three-phase power system is first converted to the noise-corrupted single phase harmonic signal model by using the Clarke transformation. A new weighted least squares (WLS) parameter estimator, which refines the initial estimates from the standard estimation techniques, is computed by utilizing the harmonic structure of the signal. Since the initial estimates become unreliable with limited samples, we proposed an iterative algorithm to polish the initial estimates for WLS. Numerical results show that the proposed estimator outperforms the conventional estimators, especially in a data-limited case.
KW - Phasor extraction
KW - fundamental frequency estimation
KW - harmonic structure
KW - multiple signal classification
KW - phase estimation
KW - weighted least squares
UR - http://www.scopus.com/inward/record.url?scp=84893182139&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893182139&partnerID=8YFLogxK
U2 - 10.1109/PESMG.2013.6672077
DO - 10.1109/PESMG.2013.6672077
M3 - Conference contribution
AN - SCOPUS:84893182139
SN - 9781479913039
T3 - IEEE Power and Energy Society General Meeting
BT - 2013 IEEE Power and Energy Society General Meeting, PES 2013
T2 - 2013 IEEE Power and Energy Society General Meeting, PES 2013
Y2 - 21 July 2013 through 25 July 2013
ER -