TY - GEN
T1 - Iterative weighted least squares frequency estimation for harmonic sinusoidal signal in power systems
AU - Sun, Jiadong
AU - Aboutanios, Elias
AU - Smith, David B.
N1 - Publisher Copyright:
© EURASIP 2018.
PY - 2018/11/29
Y1 - 2018/11/29
N2 - In this paper, a two-level iterative weighted least squares (TIWLS) method is proposed to estimate the voltage frequency in a balanced three-phase (3PH) power system with harmonic distortion. The novel TIWLS estimator exploits the weighted least squares (WLS) technique to reuse the discarded information of the previous harmonic Aboutanios and Mulgrew (HAM) algorithm. Consequently, the TIWLS method can reduce the main estimation error in HAM estimator caused by the maximum bin search. The entire two-step estimation scheme has the same order complexity as the fast Fourier transform (FFT) algorithm, which is computationally efficient. Simulation results are presented to test the TIWLS algorithm, demonstrating that the new TIWLS estimator always outperforms HAM method with less oscillation.
AB - In this paper, a two-level iterative weighted least squares (TIWLS) method is proposed to estimate the voltage frequency in a balanced three-phase (3PH) power system with harmonic distortion. The novel TIWLS estimator exploits the weighted least squares (WLS) technique to reuse the discarded information of the previous harmonic Aboutanios and Mulgrew (HAM) algorithm. Consequently, the TIWLS method can reduce the main estimation error in HAM estimator caused by the maximum bin search. The entire two-step estimation scheme has the same order complexity as the fast Fourier transform (FFT) algorithm, which is computationally efficient. Simulation results are presented to test the TIWLS algorithm, demonstrating that the new TIWLS estimator always outperforms HAM method with less oscillation.
KW - Fourier interpolation
KW - Fundamental frequency estimation
KW - Harmonic distortion
KW - Three-phase power systems
KW - Weighted least squares
UR - http://www.scopus.com/inward/record.url?scp=85059818709&partnerID=8YFLogxK
U2 - 10.23919/EUSIPCO.2018.8553269
DO - 10.23919/EUSIPCO.2018.8553269
M3 - Conference contribution
T3 - European Signal Processing Conference
SP - 176
EP - 180
BT - 2018 26th European Signal Processing Conference, EUSIPCO 2018
PB - European Signal Processing Conference, EUSIPCO
T2 - 26th European Signal Processing Conference, EUSIPCO 2018
Y2 - 3 September 2018 through 7 September 2018
ER -