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Tytuł artykułu

An approach to power system harmonic analysis based on triple-line interpolation discrete Fourier transform

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The discrete Fourier transform (DFT) is a principal method for power system harmonic analysis. The fundamental frequency of the power system increases or decreases following load changes during normal operation. It is difficult to achieve synchronous sampling and integer period truncation in power harmonic analysis. The resulting spectrum leakage affects the accuracy of the measurement results. For this reason, a windowed interpolation DFT method for power system harmonic analysis to reduce errors was presented in this paper. First, the frequency domain expression of the windowed signal Fourier transform is analyzed. Then, the magnitude of the three discrete spectrum lines near the harmonic frequency point is used to determine the accurate position of the harmonic spectrum. Then, the calculation of the amplitude, frequency, and phase of harmonics is presented. The tripleline interpolation DFT can improve the accuracy of electrical harmonic analysis. Based on the algorithm, the practical rectification formulas were obtained by using the polynomial approximation method. The simulation results show that the fast attenuation of window function sidelobe is the key to reduce the error. The triple-line interpolation DFT based on Hanning, Blackman, Nuttall 3-Term windows has higher calculation accuracy, which can meet the requirements of electrical harmonic analysis.
Rocznik
Strony
549--558
Opis fizyczny
Bibliogr. 16 poz., tab., wz.
Twórcy
autor
  • Shandong Polytechnic, China
  • Shandong Polytechnic, China
Bibliografia
  • [1] Schlabbach J., Blume D., Stephanblome T., Voltage quality in electrical power systems, The Institution of Engineering and Technology (2001).
  • [2] Yudaev I. V., Rud E.V., Yundin M. A., Ponomarenko T. Z., Isupova A. M., Analysis of the harmonic composition of current in the zero-working wire at the input of the load node with the prevailing non-linear power consumers, Archives of Electrical Engineering, vol. 70, no. 2, pp. 463–473 (2021), DOI: 10.24425/aee.2021.136996.
  • [3] Short T., Electric Power Distribution Handbook, Second Edition, CRC Press (2014).
  • [4] IEC 61000-4-30, Testing and measurement techniques-Power quality measurement methods (2008).
  • [5] IEC 61000-4-7, Testing and measurement techniques-General guide on harmonics and interharmonics measurements and instrumentation, for power supply systems and equipment connected thereto (2009).
  • [6] Jos Arrillaga, Neville R. Watson, Power system Harmonics, Second Edition, John Wiley & Sons, Chichester, England (2004).
  • [7] Lyons R. G., Understanding Digital Signal Processing, Second Edition, Prentice Hall PTR (2004).
  • [8] Pang Hao, Li Dongxia, Zu Yunxiao et al., An improved algorithm for harmonic analysis of power system using FFT Technique, Proceedings of the CSEE, vol. 23, no. 6, pp. 50–54 (2003).
  • [9] Xu Y., Liu Y., Li Z., An accurate approach for harmonic detection based on 6-term cosine window and quadruple-spectrum-line interpolation FFT, Power System Protection and Control, vol. 44, no. 22, pp. 56–63 (2016), DOI: 10.7667/PSPC151933.
  • [10] Zhang C., Wang W., Qiu Y., Detection Method of Subsynchronous Harmonic in Regions with Large ScaleWind Power Paralleled in Grid, High Voltage Engineering, vol. 45, no. 7, pp. 2194–2202 (2019), DOI: 10.13336/j.1003-6520.hve.20181207008.
  • [11] Pham V.L., Wong K.P., Wavelet-transform-based algorithm for harmonic analysis of power system waveforms, IEE Proceedings on Generation, Transmission and Distribution, vol. 146, no. 3, pp. 249–254 (1999), DOI: 10.1049/ip-gtd:19990316.
  • [12] Liu Jun, Dai Benqi, Wang Zhiyue, Power harmonic analysis based on wavelet and FFT transform, J. Relay, vol. 35, no. 23, pp. 55–59 (2007).
  • [13] Cichocki A., Lobos T., Artificial neural networks for real-time estimation of basic waveforms of voltages and currents, IEEE Transactions on Power Systems, vol. 9, no. 2, pp. 612–618 (1994), DOI: 10.1109/59.317683.
  • [14] Xiang Dongyang, Wang Gongbao, Ma Weiming et al., A new method for non-integer harmonics measurement based on FFT algorithm and neutral network, Proceedings of the CSEE, vol. 25, no. 9, pp. 35–39 (2005), DOI: 10.3321/j.issn:0258-8013.2005.09.007.
  • [15] Jiao L., Du Y., An Approach for Electrical Harmonic Analysis Based on Interpolation DFT, Archives of Electrical Engineering, vol. 71, no. 2, pp. 445–454 (2022), DOI: 10.24425/aee.2022.140721.
  • [16] Nuttall A.H., Some Windows with Very Good Sidelobe Behavior, IEEE Transactions on Acoustics Speech and Signal Processing, vol. 29, no. 1, pp. 84–91 (1981), DOI: 10.1109/TASSP.1981.1163506.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-de6e1618-b040-4b1c-aac1-e370e8a90229
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