PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Employing Grey System Model for Prediction of Electric Arc Furnace Reactive Power to Improve Compensator Performance

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
PL
Zastosowanie modelu Grey’a do prognozowania mocy biernej w systemie z piecami łukowymi
Języki publikacji
EN
Abstrakty
EN
Electric arc furnaces (EAFs) are regarded as one of the major sources of voltage fluctuation in power systems which can contribute to a phenomenon known as flicker. One of the most convenient ways to mitigate flicker is employing static VAr compensators (SVCs). By employing prediction models to forecast EAF reactive power SVC performance can be improved very noticeably. In this paper a Grey system model is proposed to predict the reactive power and the efficiency of this method is investigated.
PL
Łukowe piece elektryczne są jednym w istotnych odbiorników system energetycznego powodujących wahania sieci, znane jako efekt flicker. Te wahania można zmniejszać stosując kompensator mocy biernej. W artykule zaprezentowano model Grey’a umożliwiający prognozowanie mocy biernej.
Rocznik
Strony
110--115
Opis fizyczny
Bibliogr. 20 poz., rys., tab., wykr.
Twórcy
autor
  • School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran
autor
  • School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran
autor
  • School of Advanced Technology, Shiraz University, Shiraz, Iran
Bibliografia
  • [1] H. Samet and M. Parniani, "Predictive Method for Improving SVC Speed in Electric Arc Furnace Compensation," IEEE Trans. on Power Delivery, vol. 22, no. 1, Pages 732_734, January 2007
  • [2] H. Samet and M.E.H Golshan, "Employing Stochastic Models for Prediction of Arc Furnace Reactive Power to Improve Compensator Performance," IET Generation, Transmission & Distribution, vol. 2, issue 4, Pages 505_515, July 2008
  • [3] S. Liu and J. Forrest, "The Current Developing Status on Grey System Theory," The Journal of Grey System2 (2007)
  • [4] D. Proske and P.H.A.J.M Van Gelder, "Prediction of Complex Systems Using Grey Models," ECI Conference on Geohazards, 2006
  • [5] E. Kayacan, Y. Ozin and O. Kaynak, "Grey System Modeling Approach for Sliding-Mode Control of Antilock Braking System," IEEE Trans. on Industrial Electronics, vol. 56, no. 8 pp.3244_3252, August 2009
  • [6] S. Hui, F. Yang, Z. Li, Q. Li and J. Dong, "Application of Grey System Theory to Forecast the Growth of Larch," International Journal of Information and Systems Sciences, vol. 5, no. 3-4, Pages 522_527, 2009
  • [7] Y. Huang and T. Yu, "The Hybrid Grey-Based Models for Temperature Prediction," IEEE Trans. on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 27, no. 2, Pages 284_292, April 1997
  • [8] H. Yang, T. Liang, K. Shih and C.Huang, "Power System Yearly Peak Load Forecasting: A Grey System Modeling Approach," International Conference on Energy Management and Power Delivery, vol. 1, Pages 261_266, November 1995
  • [9] E. Kayacan, B. Ulutas and O. Kaynak, "Grey System Theory-Based in Time Series Prediction," Expert Systems with Applications, vol. 37, issue 2, Pages 1784_1789, March 2010
  • [10] C. Fan, Z, Jin and W. Tian, "A Hybrid Grey-Based Model for Drift Signal of DTG," IEEE International Conference on Neural Networks and Signal Processing, vol. 2, Pages 1702_1705, December 2003
  • [11] Y. F. Wang, "Predicting of Stock Price Using Fuzzy Grey Prediction Systems," Expert Systems with Applications, vol. 22, issue 1, Pages 33_38, January 2002
  • [12] M. E. Hamedani Golshan and H. Samet, "Updating Stochastic Model Coefficients for Prediction of Arc Furnace Reactive Power," Electric Power Systems Research, vol. 79, issue 7, Pages 1114_1120, July 2009
  • [13] M. E. Hamedani and H. Samet, "Updating Stochastic Models of Arc Furnace Reactive Power by Genetic Algorithm," 14th International Conference on Harmonics and Quality of Power, Pages 1_9, September 2010
  • [14] D. Julong, "Introduction to Grey System Theory," The Journal of Grey System 1 (1989), Pages 1_24
  • [15] N. Shimizu, O. Ueno and C. Komata, "Introduction of Time Series Data Analysis Using Grey System Theory," 2nd International Conference on Knowledge-Based Intelligent Electronic Systems, Pages 67_72, April 1998
  • [16] H. Samet, M. R. Farhadi and M.R.B. Mofrad, "Employing Artificial Neural Networks for Prediction of Electrical Arc Furnace reactive Power to Improve Compensator Performance," IEEE International Energy Conference and Exhibition (ENERGYCON), Pages 249_253, September 2012
  • [17] P. Stoica and R. L. Moses, "Introduction to Spectral Analysis," Prentice Hall, 1997
  • [18] IEC Standard 868, Flicker Meter-Functional and Design Specifications, 1996
  • [19] G. C. Sih, "Method and Apparatus for Frequency Selective Adaptive Filtering," US Patent 5,644,596 (1997)
  • [20] B. Farhang Boroujeny, "Adaptive Filters: Theory and Applications," John Wiley, 1988
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-09541a39-cf38-490a-8d95-ad2850573dd8
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.