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《Transactions of China Electrotechnical Society》 2007-06
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An Algorithm With Coarse Adjustment and Fine Adjustment for Power System Harmonics Analysis

L Fangcheng Xu Zhiniu Li Heming (North China Electric Power University Baoding 071003 China)  
For solving the problem that Fast fourier transform (FFT) algorithm has error in the condition of signal frequency fluctuation,power system harmonic analysis algorithm with coarse adjustment and fine adjustment is proposed. FFT algorithm or Hanning-windowing interpolation harmonic analysis algorithm is selected according to sampling time length,and used to obtain accurate harmonic analysis result in short calculated time,and is taken as coarse adjustment part of the algorithm. After then,Levenberg-Marquardt algorithm is used to adjust the result by coarse adjustment algorithm,and which is fine adjustment part of algorithm. The proposal algorithm has high accuracy,low requirement for sampling time length,and the selection of FFT or Hanning-windowing interpolation algorithm and Levenberg-Marquardt algorithm increases convergence speed. So it is an effective algorithm for power system harmonic analysis. After analysis of algorithm influenced by white noise,it is indicated that the algorithm is seriously influenced by white noise; error decreases with the increase of signal to noise ratio (SNR),the algorithm has high accuracy when SNR is approach to 80dB.
【CateGory Index】: TM744;TM711
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