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The Research on the Detection of Inter-harmonic Based on Windows Spectrum Estimation

Author: XuHuiLiang
Tutor: ZhouLin
School: Chongqing University
Course: Electrical Engineering
Keywords: Inter-harmonics Power Spectral Estimation Virtual Instrument Windowed power spectrum
CLC: TM76
Type: Master's thesis
Year: 2008
Downloads: 504
Quote: 3
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Abstract


With the power electronic devices and nonlinear components widely used in the power grid , the grid voltage and current waveform distortion is more and more serious , there has been a lot of inter-harmonics , resulting in power quality pollution levels , affecting the safe operation of the power system equipment , the harm caused by people pay attention to . Traditional Fourier transform in harmonic detection achieved great success , but the uncertainty due to inter-harmonics , randomness , it is difficult to carry out the whole cycle sampling its own characteristics determine its detection difficult for harmonic detection To this end , this paper existing between harmonic analysis algorithm and its theoretical foundation made ??a review and discussion, pointed out the advantages and limitations of the various algorithms . The power spectrum estimation random signal processing advantages , from the statistical point of view to describe the characteristics of the signal in the frequency domain , this thesis, the study found , based on the system of the method , its less than the essence of non-integer - period sampling signal spectrum estimation , spectral leakage suppression window function is introduced to the power spectrum estimation , sampling signal for non - integer cycle , the window function is to be placed ; and in-depth study of the performance of various types of window function , its spectral characteristics and application scenarios , derived theoretically window function of the autocorrelation function and spectral estimation , simulation studies , it was found that in the case of non - integer cycle sampling , plus side lobe attenuation window function spectrum estimation can effectively distinguish in the spectrum of small energy signal , Fourier transform and the traditional power spectrum estimation accuracy , and improve the power spectrum estimation in the spectral leakage deficiencies. While taking advantage of the virtual instrument platform to test various types of window function in spectral estimation , to achieve the effective detection of harmonics in the non-integer - period sampling ; experiment to test the effect of the Hanning window in the power spectrum estimation , and is consistent with the simulation results . This part of the VI can be used as a complementary part of the power quality detection system based on virtual instrument .

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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Power system automation
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