Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Improvement in Computation of Δ V10 Flicker Severity Index Using Intelligent Methods

  • Received : 2010.08.08
  • Accepted : 2011.01.30
  • Published : 2011.03.20
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Abstract

The ${\Delta}\;V_{10}$ or 10-Hz flicker index, as a common method of measurement of voltage flicker severity in power systems, requires a high computational cost and a large amount of memory. In this paper, for measuring the ${\Delta}\;V_{10}$ index, a new method based on the Adaline (adaptive linear neuron) system, the FFT (fast Fourier transform), and the PSO (particle swarm optimization) algorithm is proposed. In this method, for reducing the sampling frequency, calculations are carried out on the envelope of a power system voltage that contains a flicker component. Extracting the envelope of the voltage is implemented by the Adaline system. In addition, in order to increase the accuracy in computing the flicker components, the PSO algorithm is used for reducing the spectral leakage error in the FFT calculations. Therefore, the proposed method has a lower computational cost in FFT computation due to the use of a smaller sampling window. It also requires less memory since it uses the envelope of the power system voltage. Moreover, it shows more accuracy because the PSO algorithm is used in the determination of the flicker frequency and the corresponding amplitude. The sensitivity of the proposed method with respect to the main frequency drift is very low. The proposed algorithm is evaluated by simulations. The validity of the simulations is proven by the implementation of the algorithm with an ARM microcontroller-based digital system. Finally, its function is evaluated with real-time measurements.

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References

  1. G. Diez, L. I. Eguiluz, M. Manana, J. C. Lavandero, and A. Ortiz, "Instrumentation and methodology for revision of European flicker threshold," in Proc. IEEE 10th International Conference on Harmonics and Quality of Power, pp. 262-265, Oct. 2002.
  2. W. Xu, "Defeciency of the IEC flicker meter for measuring interharmonic-caused voltage flickers," in Proc. IEEE Power Engineering Society General Meeting, Vol. 3, pp. 2326-2329, Jun. 2005.
  3. A. Hernandez, J. G. Mayordomo, R. Asensi, and L. F. Beites, "A Method Based on Interharmonics for Flicker Propagation Applied to Arc Furnaces," IEEE Trans. Power Del., Vol. 20, No. 3, Jul. 2005.
  4. T. Zheng and E. B. Makram, "Wavelet representation of voltage flicker," Electric Power Systems Research, Vol. 48, No.2, pp.133-140, Dec. 1998. https://doi.org/10.1016/S0378-7796(98)00099-6
  5. A. E. Emanuel and L. Peretto, "A simple lamp-eye-brain model for flicker observations," IEEE Trans. Power Del., Vol. 19, No.3, pp.1308-1313, Jul. 2004.
  6. N. A. Smith, Lighting for Health and Safety, Butterworth-Heinemann, Boston, MA, 2000.
  7. C. Wang and M. J. Devaney, "Incandescent lamp flicker mitigation and measurement," IEEE Transactions on Instrumentation and Measurement, Vol. 53, No. 4, pp. 1028-1034, Aug. 2004. https://doi.org/10.1109/TIM.2004.831131
  8. S. Caldara, placeS. Nuccio, and C. Spataro, "A virtual instrument for measurement of flicker," IEEE Trans. Instrum. Meas., Vol. 47, No. 5, pp. 1155-1158, Oct. 1998. https://doi.org/10.1109/19.746574
  9. R. Arsenau, M. E. Sutherland, and J. J. Zelle, "A test system for calibrating flickermeters," IEEE Trans. Instrum. Meas., Vol. 51, No. 4, pp. 598-600, Aug. 2002. https://doi.org/10.1109/TIM.2002.802246
  10. S. J. Huang and C. W. Lu, "Enhancement of digital equivalent voltage flicker measurement via continuous wavelet transform," IEEE Trans. Power Del., Vol. 19, No. 2, pp. 663-670, Apr. 2004. https://doi.org/10.1109/TPWRD.2003.820174
  11. T. Keppler, N. Watson, and J. Arrillaga, "Computation of the short-term flicker severity index," IEEE Trans. Power Del., Vol. 15, No. 4, pp. 1110-1115, Oct. 2000. https://doi.org/10.1109/61.891490
  12. New trend in supply problems of arc furnace for steel plants, Tech. report of Electrical engineering society (Japan), Vol. 2, pp. 3-26, 1978.
  13. C. J. Wu and T. H. Fu, "Effective voltage flicker calculation algorithm using indirect demodulation method," in Proc. IEE Generation, Transmission and Distribution, Vol. 150, No. 4, pp. 493-500, Jul. 2003.
  14. J.-L. Guan, J.-C. Gu, and C.-J. Wu, "Real-time measurement approach for tracking the actual coefficient of $\Delta$V/$\Delta$V10 of electric arc furnace," IEEE Trans. Power Del., Vol. 19, No. 1, pp. 309-315, Jan. 2004. https://doi.org/10.1109/TPWRD.2003.820182
  15. S.-J. Huang and C.-W. Lu, "Enhancement of digital equivalent voltage flicker measurement via continuous wavelet transform," IEEE Trans. Power Del., Vol. 19, No. 2, pp. 663-670, Apr. 2004. https://doi.org/10.1109/TPWRD.2003.820174
  16. N. Koose, O. Salor, and K. Leblebicioglu, "Interharmonics analysis of power signals with fundamental frequency deviation using Kalman filtering," Electric Power Systems Research, Vol. 80, No.9, pp. 1145-1153, Sep. 2010. https://doi.org/10.1016/j.epsr.2010.03.006
  17. Y.F. Li and K.F. Chen, "Eliminating the picket fence effect of the fast Fourier transform," Computer Physics Communications, Vol. 178, No.7, pp. 486-491, Apr. 2008. https://doi.org/10.1016/j.cpc.2007.11.005
  18. L. Salvatore and A. Trotta, "Flat-top windows for PWM waveform processing via DFT," lEE Electric Power Applications, Vol. 135, No. 6, pp.346-361, Nov. 1988.
  19. R. M. Hidalgo and J. G. Fernandez, R.R. Rivera, H.A. Larrondo, "A simple adjustable window algorithm to improve FFT measurements," IEEE Trans. Instrum. Meas., Vol. 51, No. 1, pp.31-36, Feb. 2002. https://doi.org/10.1109/19.989893
  20. F. Zhang, Z. Geng, and W. Yuan, "The algorithm of interpolating windowed FFT for harmonic analysis of electric power system," IEEE Trans. on Power Del., Vol. 16, No. 2, pp.160-164, Apr. 2001. https://doi.org/10.1109/61.915476
  21. G. Roberts, "A computationally efficient power-of-two window for spectral analysis," in Proceeding of IEEE Aerospace Conference, Vol. 4, pp. 221-230, 1998.
  22. O. Poisson, P. Rioual, and M. Meunier, "New signal processing tools applied to power quality analysis," IEEE Trans. on Power Del., Vol.14, No.2, pp.561-566, Apr. 1999.
  23. J. Arrillaga, N. R. Watson, and S. Chen, Power System Quality Assessment, John Wiley & Sons, New York, 2000.
  24. G. W. Chang and C. I Chen, "A comparative study of voltage flicker envelope estimation methods," in Proc. of IEEE Conference on Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, pp. 1-6, 2008.
  25. N. Kose, O. Salor and K. Leblebicioglu, "Kalman filtering based approach for light flicker evaluation of power systems," IET Generation, Transmission & Distribution, Vol. 5, No. 1, pp. 57-69, Jan. 2011. https://doi.org/10.1049/iet-gtd.2009.0702
  26. H. Song, R. Na, and R. Zheng, "An advanced method for detection of instantaneous voltage flicker based on Prony analysis and Hilbert transform," Electrical Measurement and Instrumentation, Vol. 44, pp. 11-14, Sep. 2007.
  27. B. Widrow and M. A. Lehr, "30 years of adaptive neural networks: perceptrons," in Proc. of IEEE, Vol.78, No.9, pp. 1415-1442, 1990.
  28. M. I. Marei, E. F. El-Saadany, and M. M. A. Salama, "Estimation techniques for voltage flicker envelope tracking," Electric Power Systems Research, Vol.70, No.1, pp. 30-37, Jun. 2004. https://doi.org/10.1016/j.epsr.2003.11.001
  29. J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. IEEE International Conference on Neural Networks, Vol. 4, pp. 1942-1948, 1995.
  30. N. M Jothi Swaroopan and P. Somasundaram, ''A novel combined economic and emission dispatch control by hybrid particle swarm optimization technique," Majlesi Journal of Electrical Engineering, Vol. 4, No. 2, pp. 19-24, Jun. 2010.
  31. A. Sloss, D. Symes, and C. Wright, ARM System Developer's Guide: Designing and Optimizing System Software, Morgan Kaufmann, 2004.

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