A novel approach for harmonic parameters estimation under nonstationary situations

Zhang, Bo; Zhou, Yibo; Teng, Zhaosheng; Li, Gang

doi:10.1016/j.ijepes.2012.08.003

Cited by 10 publications

(6 citation statements)

References 21 publications

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“…The signal frequencies are considered as 49.5 Hz and 50.5 Hz to justify the estimation accuracy under non-synchronous sampling frequency, the input signal is analyzed by using PLIS-based DSLIFFT with 4MSCW. The proposed PLIS-based DSLIFFT using 4MSCW results are compared with the conventional DSLIFFT algorithm reported in [11][12][13][14][15][16][17][18][19][20][21][22] using 4MSCW. The simulated benchmark signal waveform representation is depicted in Figure 3.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Here α takes integer values, and N is fixed to 2 k , where k is a natural number. Based upon the window function given in Equation (1) various advanced CWs are derived for harmonic estimation [7][8][9][10][11][12][13][14][15][16]18,19,[21][22][23]. Given the main lobe, sidelobe, and sidelobe roll of rate requirements a 4MSCW is adopted for harmonic and synchrophasor estimation, a PLIS-based DSLIFFT algorithm has been developed to improve its accuracy matching with the RT signal analysis.…”

Section: Mscw Function Overviewmentioning

confidence: 99%

“…This procedure effectively decreases the computation process. However, the peak search process in the conventional DSLIFFT algorithm reported in the literature [11][12][13][14][15][16][17][18][20][21][22][23] will check for the entire frequency bin peak locations, which in turn increases the computation burden.…”

Section: Plis-based Dslifft Algorithmmentioning

confidence: 99%

“…After obtaining the locations of the spectral lines, an interpolation method is applied to estimate the amplitude, phase, and frequency of the harmonic signal. The conventional DSLIFFT algorithm presented in the literature [11][12][13][14][15][16][17][18][19][20][21][22] is improved by using the PLIS method. The spectral line location of the h th harmonic component can be obtained from the PLIS method.…”

Section: Overview Of Dslifftmentioning

confidence: 99%

“…The pictorial representation of the PLIS-based DSLIFFT using 4MSCW is illustrated in Figure 2. The frequency spectrum expression is written as [11][12][13][14][15][16][17][18][19][20][21][22]:…”

Section: Overview Of Dslifftmentioning

confidence: 99%

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Enhanced Dual-Spectrum Line Interpolated FFT with Four-Term Minimal Sidelobe Cosine Window for Real-Time Harmonic Estimation in Synchrophasor Smart-Grid Technology

et al. 2019

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The proliferation of nonlinear loads and integration of renewable energy sources require attention for accurate harmonic estimation along with estimation of fundamental amplitude, phase, and frequency for protection, improving power quality, and managing power effectively in a smart distribution grid. There are currently different Windowed Interpolated Fast Fourier Transform (WIFFT) algorithms for harmonic voltage estimation, but estimation of current harmonics using WIFFT is not explored sufficiently. The existing WIFFT algorithms, when used for current harmonic estimation result in low accuracy due to spectral leakage and picket fence effect. On the other hand, Interpolated Discrete Fourier Transform (DFT) is used for synchrophasor quality metrics, but it is effective only when there are no harmonics and the fundamental frequency is constant. This paper proposes a unified solution, comprising of peak location index search (PLIS)-based Dual-Spectrum Line Interpolated Fast Fourier Transform (DSLIFFT) algorithm with 4-Term Minimal Sidelobe Cosine Window (4MSCW) for estimating both low-amplitude voltage or current harmonics and synchrophasor under variable frequency conditions for high-penetration renewable energy utility grids. The effectiveness of the proposed algorithm is validated by simulation studies and real-time experimentation using the National Instruments reconfigurable embedded system under nonlinear loading conditions.

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