Browse > Article
http://dx.doi.org/10.6113/JPE.2011.11.2.228

Improvement in Computation of Δ V10 Flicker Severity Index Using Intelligent Methods  

Moallem, Payman (Dept. of Electrical Engineering, University of Isfahan)
Zargari, Abolfazl (Dept. of Electrical Engineering, University of Isfahan)
Kiyoumarsi, Arash (Dept. of Electrical Engineering, University of Isfahan)
Publication Information
Journal of Power Electronics / v.11, no.2, 2011 , pp. 228-236 More about this Journal
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.
Keywords
${\Delta}\V_{10}$; Adaline; FFT; Flicker index; Power quality; PSO;
Citations & Related Records

Times Cited By Web Of Science : 0  (Related Records In Web of Science)
Times Cited By SCOPUS : 0
연도 인용수 순위
  • Reference
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 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.
4 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.   DOI   ScienceOn
5 J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. IEEE International Conference on Neural Networks, Vol. 4, pp. 1942-1948, 1995.
6 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.
7 A. Sloss, D. Symes, and C. Wright, ARM System Developer's Guide: Designing and Optimizing System Software, Morgan Kaufmann, 2004.
8 J. Arrillaga, N. R. Watson, and S. Chen, Power System Quality Assessment, John Wiley & Sons, New York, 2000.
9 G. Roberts, "A computationally efficient power-of-two window for spectral analysis," in Proceeding of IEEE Aerospace Conference, Vol. 4, pp. 221-230, 1998.
10 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.
11 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.
12 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.   DOI   ScienceOn
13 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.   DOI   ScienceOn
14 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.
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.   DOI   ScienceOn
16 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.   DOI   ScienceOn
17 New trend in supply problems of arc furnace for steel plants, Tech. report of Electrical engineering society (Japan), Vol. 2, pp. 3-26, 1978.
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.   DOI   ScienceOn
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.   DOI   ScienceOn
21 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.   DOI   ScienceOn
22 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.
23 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.   DOI   ScienceOn
24 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.   DOI   ScienceOn
25 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.   DOI   ScienceOn
26 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.   DOI   ScienceOn
27 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.
28 T. Zheng and E. B. Makram, "Wavelet representation of voltage flicker," Electric Power Systems Research, Vol. 48, No.2, pp.133-140, Dec. 1998.   DOI   ScienceOn
29 N. A. Smith, Lighting for Health and Safety, Butterworth-Heinemann, Boston, MA, 2000.
30 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.
31 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.   DOI   ScienceOn