Estimation and Tracking of the Power Quality Disturbances in the Frequency Domain

Dušan Agrež 1
  • 1 Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, 1001 Ljubljana, Slovenia

Estimation and Tracking of the Power Quality Disturbances in the Frequency Domain

In this paper, simple algorithms for fast measurement and estimation of the unknown changing frequency, amplitude, and phase difference of the sinusoidal signals from two channels with the same frequency, as well as other parameters for evaluation of the power quality disturbances, are presented. Parameters are calculated from the DFT coefficients around the component peaks. The improvement for reducing the influences of the harmonic components is the estimation with the three-point interpolation and the Hann window.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • IEEE Standard 1459-2000 (2003). IEEE Standard Definitions for the Measurement of Electric Power Quantities Under Sinusoidal, Nonsinusoidal, Balanced or Unbalanced Conditions. The Institute of Electrical and Electronic Engineers. Inc. New York.

  • Matz V., Radil T., Ramos P., Serra A. C. (2007, May). Automated Power Quality Monitoring System for On-line Detection and Classifications of Disturbances. Proceedings of the IEEE IMTC/2007, no. IM-7083 - 6p., Warsaw, Poland.

  • Bollen M. H. J. (1999). Understanding Power Quality Problems: Voltage Sags and Interruptions, IEEE Press. New York.

  • International standard IEC 61000-4-7, ‘Electromagnetic Compatibility-Testing and Measurement Techniques - General Guide on Harmonics and Interharmonics Measurements and instrumentation, for Power Supply Systems and Equipment Connected thereto’, 2002.

  • Gallo D., Landi C., Pasquino N., Polese N. (2007, October). A New Methodological Approach to Quality Assurance of Energy Meters Under Nonsinusoidal Conditions. IEEE Trans. on Instr. and Meas. 56(5), 1694-1702.

  • Agrež D. (2010, September). Estimation of the Power Quality Disturbances in the Frequency Domain. Proceedings of the 17th Symposium IMEKO TC 4, 3rd Symposium IMEKO TC 19 and 15th IWADC Workshop, no. 26, 6 p., Kosice, Slovakia.

  • Agrež D. (2007, December). Dynamics of frequency estimation in the frequency domain. IEEE Trans. on Instr. and Meas. 56(6), 2111-2118.

  • Backmutsky V., Zmudikov V., Agizim A., Vaisman G. (1996). A new DSP method for precise dynamic measurement of the actual power-line frequency and its data acquisition applications. Measurement 18(3), 169-176.

  • Varkonyi Koczy A. R., Simon G., Sujbert L., Fek M. (1998, October). Fast Filter-bank for Adaptive Fourier Analysis. IEEE Trans. on Instr. and Meas. 47(5), 1124-1128.

  • Angrisani L., D'Arco M. (2002, August). A Measurement Method Based on a Modified Version of the Chirplet Transform for Instantaneous Frequency Estimation. IEEE Trans. on Instr. and Meas. 51(4), 704-711.

  • Agrež D. (2002). Weighted Multi-Point Interpolated DFT to Improve Amplitude Estimation of Multi-Frequency Signal. IEEE Trans. on Instr. and Meas. 51, 287-292.

  • Agrež D. (2005, August). Improving phase estimation with leakage minimization. IEEE Trans. on Instr. and Meas. 54(4), 1347-1353.

  • Händel P. (2008, August). Parameter estimation employing a dual-channel sine-wave model under a Gaussian assumption, IEEE Trans. Instrum. Meas. 57(8), 1661-1669.

  • Deyst J. P., Sounders T. M., Salomon O. M. (1995, June). Bounds on Least-Squares Four-Parameter Sine-Fit Errors Due to Harmonic Distortion and Noise. IEEE Trans. on Instr. and Meas. 44, 637-642.


Journal + Issues