Skip to main content

Accurate Methods for Signal Processing of Distorted Waveforms in Power Systems

Abstract

A primary problem in waveform distortion assessment in power systems is to examine ways to reduce the effects of spectral leakage. In the framework of DFT approaches, line frequency synchronization techniques or algorithms to compensate for desynchronization are necessary; alternative approaches such as those based on the Prony and ESPRIT methods are not sensitive to desynchronization, but they often require significant computational burden. In this paper, the signal processing aspects of the problem are considered; different proposals by the same authors regarding DFT-, Prony-, and ESPRIT-based advanced methods are reviewed and compared in terms of their accuracy and computational efforts. The results of several numerical experiments are reported and analysed; some of them are in accordance with IEC Standards, while others use more open scenarios.

References

  1. 1.

    IEC standard 61000-4-30 : Testing and measurement techniques—Power quality measurement methods. Ed. 2003

  2. 2.

    IEC standard 61000-4-7 : General guide on harmonics and interharmonics measurements, for power supply systems and equipment connected thereto. Ed. 2002

  3. 3.

    Testa A, Gallo D, Langella R: On the processing of harmonics and interharmonics: using hanning window in standard framework. IEEE Transactions on Power Delivery 2004,19(1):28-34. 10.1109/TPWRD.2003.820437

    Article  Google Scholar 

  4. 4.

    Gallo D, Langella R, Testa A: A self-tuning harmonic and interharmonic processing technique. European Transactions on Electrical Power 2002,12(1):25-31. 10.1002/etep.4450120105

    Article  Google Scholar 

  5. 5.

    Gallo D, Langella R, Testa A: Interharmonic analysis utilising optimised harmonic filtering. Proceedings of IEEE International Symposium on Diagnostic or Electrical Machines, Power Electronics and Drives (SDEMPED '01), September 2001, Gorizia, Italy

    Google Scholar 

  6. 6.

    Gallo D, Langella R, Testa A: Desynchronized processing technique for harmonic and interharmonic analysis. IEEE Transactions on Power Delivery 2004,19(3):993-1001. 10.1109/TPWRD.2004.829941

    Article  Google Scholar 

  7. 7.

    Langlois P, Bergeron R: Interharmonic analysis by a frequency interpolation method. Proceedings of the 2nd International Conference on Power Quality (PQA '92), September 1992, Atlanta, Ga, USA

    Google Scholar 

  8. 8.

    Bracale A, Carpinelli G, Lauria D, Leonowicz Z, Lobos T, Rezmer J: On some spectrum estimation methods for analysis of non-stationary signals in power systems—part I: theoretical aspects. Proceedings of the 11th International Conference on Harmonics and Quality of Power (ICHQP '04), September 2004, Lake Placid, NY, USA 266–271.

    Google Scholar 

  9. 9.

    Bracale A, Carpinelli G, Leonowicz Z, Lobos T, Rezmer J: Spectrum estimation of non-stationary signals in traction systems. Proceedings of the International Conference on Power Systems (ICPS '04), November 2004, Kathmandu, Nepal 821–826.

    Google Scholar 

  10. 10.

    Bracale A, Caramia P, Carpinelli G: Optimal evaluation of waveform distortion indices with Prony and rootmusic methods. to appear in International Journal of Power and Energy Systems

  11. 11.

    Bracale A, Caramia P, Carpinelli G: Adaptive Prony Method for Waveform Distortion Detection in Power Systems. to appear in International Journal on Electrical Power and Energy Systems

  12. 12.

    Leonowicz Z, Lobos T, Rezmer J: Advanced spectrum estimation methods for signal analysis in power electronics. IEEE Transactions on Industrial Electronics 2003,50(3):514-519. 10.1109/TIE.2003.812361

    Article  Google Scholar 

  13. 13.

    Bracale A, Proto D, Varilone P: Adaptive Prony method for spectrum estimation of non-stationary signals in traction systems. Proceedings of the International Conference on Computer as a Tool (EUROCON '05), November 2005, Belgrade, Serbia & Montenegro 2: 1550–1553.

    Google Scholar 

  14. 14.

    Bracale A, Carpinelli G, Piegari L: Adaptive Prony method for an accurate analysis of AC waveform distortions caused by adjustable speed drives. Proceedings of the 12th International Conference on Harmonics and Quality of Power (ICHQP '06), October 2006, Cascais, Portugal

    Google Scholar 

  15. 15.

    Bracale A, Carpinelli G, Leonowicz Z, Lobos T, Rezmer J: Measurement of IEC groups and subgroups using advanced spectrum estimation methods. Proceedings of the 23rd IEEE Instrumentation and Measurement Technology Conference (IMTC '06), April 2006, Sorrento, Italy 1015–1020.

    Google Scholar 

  16. 16.

    Bracale A, Carpinelli G, Langella R, Testa A: On some advanced methods for waveform distortion assessment in presence of interharmonics. Proceedings of IEEE Power Engineering Society General Meeting, June 2006, Monreal, QC, Canada 8.

    Google Scholar 

  17. 17.

    Kay SM: Modern Spectral Estimation: Theory and Application. Prentice-Hall, Englewood Cliffs, NJ, USA; 1988.

    Google Scholar 

  18. 18.

    Kusuma J: Parametric Frequency Estimation: ESPRIT and MUSIC. Rice University, , 2002 https://doi.org/cnx.rice.edu/content/m10588/ Rice University, , 2002

    Google Scholar 

  19. 19.

    Roy R, Kailath T: ESPRIT - estimation of signal parameters via rotational invariance techniques. IEEE Transactions on Acoustics, Speech, and Signal Processing 1989,37(7):984-995. 10.1109/29.32276

    Article  Google Scholar 

  20. 20.

    Dafis CJ, Nwankpa CO, Petropulu A: Analysis of power system transient disturbances using an ESPRIT-based method. Proceedings of the IEEE Power Engineering Society Summer Meeting, July 2000, Seattle, Wash, USA 1: 437–442.

    Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to A. Bracale.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://doi.org/creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Bracale, A., Carpinelli, G., Langella, R. et al. Accurate Methods for Signal Processing of Distorted Waveforms in Power Systems. EURASIP J. Adv. Signal Process. 2007, 092191 (2007). https://doi.org/10.1155/2007/92191

Download citation

Keywords

  • Signal Processing
  • Power System
  • Quantum Information
  • Computational Effort
  • Accurate Method