Development of interharmonics identification using enhanced-FFT algorithm

Hsiung Cheng Lin

Development of interharmonics identification using enhanced-FFT algorithm

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Author(s): Hsiung Cheng Lin¹
- Affiliations: 1: Department of Electronic Engineering , National Chin-Yi University of Technology , Taiwan
Source: Volume 2017, Issue 7, July 2017, p. 333 – 342
DOI: 10.1049/joe.2017.0133 , Online ISSN 2051-3305

This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)

Received 07/04/2017, Accepted 09/06/2017, Revised 18/05/2017, Published 16/06/2017

The fast Fourier transform (FFT) is a mostly used tool to measure power system harmonics. FFT, however, is not applicable to analyse interharmonics due to spectral leakage effect. Although International Electrotechnical Commission (IEC) standard is recommended for interharmonic measurement, the individual interharmonic frequency and respective amplitude cannot be worked out under this framework. For this reason, this paper proposes an enhanced-FFT model to build up the relationship between interharmonic frequency and dispersed leakage energy. The mathematical equation is thus established to find actual value of interharmonic frequency. Moreover, the true interharmonic amplitude can be retrieved from the dispersed energy collection. In other words, the sampling window length is no longer required to match the interharmonic period and the correct measurement results can be achieved. The proposed model is developed using a simple arithmetic equation so that it is feasible for more efficient calculation for interharmonic analysis. Performance results verify that the proposed scheme can achieve accurate, rapid and reliable outcomes.

References

1. 1)
  - 9. Tayjasanant, T., Wang, W., Li, C., et al: ‘Interharmonic-flicker curves’, IEEE Trans. Power Deliv., 2005, 20, (2), pp. 1017–1024 (doi: 10.1109/TPWRD.2004.838639).
2. 2)
  - 24. Lin, H.C., Ye, Y.C., Huang, B.J., et al: ‘Bearing vibration detection and analysis using enhanced fast Fourier transform algorithm’, Adv. Mech. Eng., 2016, 8, (10), pp. 1–14 (doi: 10.1177/1687814016675080).
3. 3)
  - 14. Jain, S.K., Singh, S.N.: ‘Exact model order ESPRIT technique for harmonics and interharmonics estimation’, IEEE Trans. Instrum. Meas., 2012, 61, (7), pp. 1915–1923 (doi: 10.1109/TIM.2012.2182709).
4. 4)
  - 29. He, C., Shu, Q.: ‘Separation and analyzing of harmonics and inter-harmonics based on single channel independent component analysis’, Int. Trans. Electr. Energy Syst., 2015, 25, pp. 169–179 (doi: 10.1002/etep.1832).
5. 5)
  - 22. Press, W.H., Flannery, B.P., Teukolsky, S.A., et al: ‘Numerical recipes-The art of scientific computing’ (Cambridge University Press, Cambridge, 1986).
6. 6)
  - 10. Lobos, T., Kozina, T., Koglin, H.-J.: ‘Power system harmonics estimation using linear least squares method and SVD’, IEE Proc. Gener. Transm. Distrib., 2001, 148, (6), pp. 567–572 (doi: 10.1049/ip-gtd:20010563).
7. 7)
  - 47. Testa, A., Akram, M.F., Burch, R., et al: ‘Interharmonics: theory and modeling’, IEEE Trans. Power Deliv., 2007, 22, (4), pp. 2335–2348 (doi: 10.1109/TPWRD.2007.905505).
8. 8)
  - 12. Chen, C.I.: ‘Virtual multifunction power quality analyzer based on adaptive linear neural network’, IEEE Trans. Ind. Electron., 2012, 59, (8), pp. 3321–3329 (doi: 10.1109/TIE.2011.2151811).
9. 9)
  - 3. Lin, H.C.: ‘Identification of interharmonics using disperse energy distribution algorithm for flicker troubleshooting’, IET Sci. Meas. Technol., 2016, 10, (7), pp. 786–794 (doi: 10.1049/iet-smt.2016.0110).
10. 10)
  - 6. Lin, H.C.: ‘Fast tracking of time-varying power system frequency and harmonics using iterative-loop approaching algorithm’, IEEE Trans. Ind. Electron., 2007, 54, (2), pp. 974–983 (doi: 10.1109/TIE.2007.893064).
11. 11)
  - 8. Gu, I.Y.-H., Bollen, M.H.J.: ‘Estimating interharmonics by using sliding-window ESPRIT’, IEEE Trans. Power Deliv., 2008, 23, (1), pp. 13–23 (doi: 10.1109/TPWRD.2007.911130).
12. 12)
  - 7. Aghazadeh, R., Lesani, H., Sanaye-Pasand, M., et al: ‘New technique for frequency and amplitude estimation of power system signals’, IEE Proc. Gener. Transm. Distrib., 2005, 152, (3), pp. 435–440 (doi: 10.1049/ip-gtd:20041255).
13. 13)
  - 21. Oppenheim, A.V., Schafer, R.W.: ‘Discrete-time signal processing’ (Prentice Hall, Upper Saddle River, NJ, 1989).
14. 14)
  - 23. Lin, H.C.: ‘Development of leakage energy allocation approach for time-varying interharmonics tracking’, IET Gener. Transm. Distrib., 2015, 9, (9), pp. 798–804.
15. 15)
  - 26. Chang, G.W., Chen, C.-I.: ‘An accurate time-domain procedure for harmonics and interharmonics detection’, IEEE Trans. Power Deliv., 2010, 25, (3), pp. 1787–1795 (doi: 10.1109/TPWRD.2009.2037230).
16. 16)
  - 21. Valtierra-Rodriguez, M., de Jesus Romero-Troncoso, R.: ‘Detection and classification of single and combined power quality disturbances using neural networks’, IEEE Trans. Ind. Electron., 2014, 61, (5), pp. 2473–2482 (doi: 10.1109/TIE.2013.2272276).
17. 17)
  - 5. Karimi-Ghartemani, M., Reza Iravani, M.: ‘Measurement of harmonics/inter-harmonics of time-varying frequency’, IEEE Trans. Power Deliv., 2005, 20, (1), pp. 23–31 (doi: 10.1109/TPWRD.2004.837674).
18. 18)
  - 20. IEC 61000-4-7: Electromagnetic compatibility (EMC) Part 4: testing and measurement techniques Section 7: general guide on harmonics and interharmonics measurements and instrumentation for power supply systems and equipment connected thereto, 2002.
19. 19)
  - 3. Lin, H.C.: ‘Separation of adjacent interharmonics using maximum energy retrieving algorithm’, IET Sci. Meas. Technol., 2016, 10, (2), pp. 92–99 (doi: 10.1049/iet-smt.2015.0115).
20. 20)
  - 11. Lin, H.C.: ‘Intelligent neural network based adaptive power line conditioner for real-time harmonics filtering’, IEE Proc. Gener. Transm. Distrib., 2004, 151, (5), pp. 561–567 (doi: 10.1049/ip-gtd:20040757).
21. 21)
  - 16. Lin, H.C., Chen, C.H., Liu, L.Y.: ‘Harmonics and Interharmonics Measurement using Group-harmonic Power Minimizing Algorithm’. Proc. of the World Congress on Engineering, London, U.K., July 2011, pp. 1300–1305.
22. 22)
  - 25. Zhu, T.X.: ‘Exact harmonics/interharmonics calculation using adaptive window width’, IEEE Trans. Power Deliv., 2007, 22, (4), pp. 2279–2288 (doi: 10.1109/TPWRD.2007.899526).
23. 23)
  - 32. Wu, R.-C., Tai, C.C.: ‘Analysis of the exponential signal by the interpolated DFT algorithm’, IEEE Trans. Instrum. Meas., 2010, 59, (12), pp. 3306–3317 (doi: 10.1109/TIM.2010.2047301).
24. 24)
  - 14. Tayjasanant, T., Wilsun, X., Chun, L.: ‘Interharmonics: basic concepts and techniques for their detection and measurement’, Electr. Power Syst. Res., 2003, 66, (1), pp. 39–48 (doi: 10.1016/S0378-7796(03)00070-1).

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