Yıl: 2016 Cilt: 24 Sayı: 4 Sayfa Aralığı: 3178 - 3197 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

A new combined method for RMS calculation based on wavelet packet and Hilbert transform

Öz:
Among several methods used for calculating the root mean square (RMS) of electrical signals, Fourier and wavelet transforms are the most common approaches. The latter also has the advantage of being able to analyze both stationary and nonstationary signals. However, in the wavelet-based methods, the presence of both odd and even harmonics in the input signal causes the harmonic components not to be in the center of the extracted frequency bands and this will reduce the accuracy of the RMS calculation. In order to remove this drawback, this paper proposes a new method based on wavelet and Hilbert transforms, in which the frequency of all harmonic components is increased by half of the main frequency by using a preprocessing technique. In simulation results, the RMS value of a real signal of the steel electric arc furnace of the Esfahan Mobarakeh Steel Company is calculated by using the suggested method. The results clearly show that the accuracy of the proposed approach is better than that of conventional and grouping methods.
Anahtar Kelime:

Konular: Mühendislik, Elektrik ve Elektronik
Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
0
0
0
  • [1] Hooshmand RA, Banejad M, Esfahani MT. A new time domain model for electric arc furnace. Journal of Electrical Engineering 2008; 59: 195-202.
  • [2] Hajibeigy M, Farsadi M. Harmonic suppression in HVDC system using a modified control method for hybrid active DC filter. Eur T Electr Power 2012; 22: 294-307.
  • [3] Sutinko T, Jidin A, Idrist NRN. New approach FPGA-based implementation of discontinuous SVPWM. Turk J Electr Eng Co 2010; 18: 499-514.
  • [4] Hooshmand RA, Noohi S. Neural network-based algorithm for harmonic analysis of industrial systems using asynchronous simulations in time and frequency domains. IEEJ T Electr Electr 2010; 5: 688-694.
  • [5] Saxena D, Bhaumik S, Singh SN. Identification of multiple harmonic sources in power system using optimally placed voltage measurement devices. IEEE T Ind Electron 2014; 61: 2483-2492.
  • [6] Allenbaugh ML, Dionise TJ, Natali TJ. Harmonic analysis and filter bank design for a new rectifier for a cold roll mill. IEEE T Ind Appl 2013; 49: 1161-1170.
  • [7] Morsi WG, El-Hawary ME. A new reactive, distortion and non-active power measurement method for nonstationary waveforms using wavelet packet transform. Electr Pow Syst Res 2009; 79: 1408-1415.
  • [8] Jain SK, Singh SN. Fast harmonic estimation of stationary and time-varying signals using EA-AWNN. IEEE T Instrum Meas 2013; 62: 335-343.
  • [9] Akinci TC, Ekren N, Seker S, Yildirim S. Continuous wavelet transform for ferroresonance phenomena in electric power systems. Int J Elec Power 2013; 44: 403-409.
  • [10] Vatansever F, Ozdemir A. A new approach for measuring RMS value and phase angle of fundamental harmonic based on wavelet packet transform. Electr Pow Syst Res 2008; 78: 74-79.
  • [11] Ren J, Kezunovic M. Real-time power system frequency and phasors estimation using recursive wavelet transform. IEEE T Power Deliver 2011; 26: 1392-1402.
  • [12] Morsi WG, El-Hawary ME. Time-frequency single-phase power components measurements for harmonics and interharmonics distortion based on wavelet packet transform; Part II: case studies and results. Can J Elect Comput E 2010; 35: 8-14.
  • [13] Nath S, Sinha P, Goswami SK. A wavelet based novel method for the detection of harmonic sources in power systems. Int J Elec Power 2012; 40: 54-61.
  • [14] Barros J, Diego RI. Analysis of harmonics in power systems using the wavelet-packet transform. IEEE T Instrum Meas 2008; 57: 63-69.
  • [15] Diego RI, Barros J. Global method for time–frequency analysis of harmonic distortion in power systems using the wavelet packet transform. Electr Pow Syst Res 2009; 79: 1226-1239.
  • [16] Diego RI, Barros J. Subharmonic measurement using DFT and wavelet-packet transform in an IEC extended framework. Measurement 2010; 43: 1603-1608.
  • [17] Barros J, Diego ROI. A new method for measurement of harmonic groups in power systems using wavelet analysis in the IEC standard framework. Electr Pow Syst Res 2006; 76: 200-208.
  • [18] Barros J, Diego RI. Application of the wavelet-packet transform to the estimation of harmonic groups in current and voltage waveforms. IEEE T Power Deliver 2006; 21: 533-535.
  • [19] Barros J, Diego RI, Apraiz MD. A discussion of new requirements for measurement of harmonic distortion in modern power supply systems. IEEE T Instrum Meas 2013; 62: 2129-2139.
  • [20] Morsi WG, Diduch CP, Chang L, El-Hawary ME. Wavelet-based reactive power and energy measurement in the presence of power quality disturbances. IEEE T Power Syst 2011; 26: 1263-1271.
  • [21] Chen Y. Harmonic detection in electric power system based on wavelet multi-resolution analysis. In: International Conference on Computer Science and Software Engineering; 2008. pp. 1204-1207.
  • [22] Vatansever F, Ozdemir A. Power parameters calculations based on wavelet packet transform. Int J Elec Power 2009; 31: 596-603.
  • [23] Ferretti M, Rizzo D. Handling borders in systolic architectures for the 1-D discrete wavelet transform for perfect reconstruction. IEEE T Signal Proces 2000; 48: 1365-1378.
  • [24] Su H, Liu Q, Li J. Boundary effects reduction in wavelet transform for time-frequency analysis. WSEAS Transactions on Signal Processing 2012; 8: 169-179.
  • [25] Dehkordi BM, Parsapoor A, Hooshmand R. Effect of different operating conditions of electric arc furnace on synchronous generator shaft. In: International Aegean Conference on Electrical Machines and Power Electronics; 2007. pp. 824-829.
  • [26] Golkar MA, Bina MT, Meschi S. A novel method of electrical arc furnace modeling for flicker study. In: International Conference on Renewable Energies and Power Quality; 2007. pp. 1-8.
  • [27] Bhonsle DC, Kelkar RB. Design and analysis of composite filter for power qualify improvement of electric arc furnace. In: International Conference on Electric Power and Energy Conversion Systems; 2013. pp. 1-10.
  • [28] Bhonsle DC, Kelkar RB. Simulation of electric arc furnace characteristics for voltage flicker study using MATLAB. In: International Conference on Recent Advancements in Electrical, Electronics and Control Engineering; 2011. pp.174-181.
  • [29] IEC. Electromagnetic Compatibility (EMC), Pt. 4, Section 30: Power Quality Measurement Methods, IEC 61000- 4-30.
  • [30] Rafiee J, Rafiee MA, Prause N, Schoen MP. Wavelet basis functions in biomedical signal processing. Expert Syst Appl 2011; 38: 6190-6201.
APA MODARRESI J, HOOSHMAND R (2016). A new combined method for RMS calculation based on wavelet packet and Hilbert transform. , 3178 - 3197.
Chicago MODARRESI Javad,HOOSHMAND Rahmat Allah A new combined method for RMS calculation based on wavelet packet and Hilbert transform. (2016): 3178 - 3197.
MLA MODARRESI Javad,HOOSHMAND Rahmat Allah A new combined method for RMS calculation based on wavelet packet and Hilbert transform. , 2016, ss.3178 - 3197.
AMA MODARRESI J,HOOSHMAND R A new combined method for RMS calculation based on wavelet packet and Hilbert transform. . 2016; 3178 - 3197.
Vancouver MODARRESI J,HOOSHMAND R A new combined method for RMS calculation based on wavelet packet and Hilbert transform. . 2016; 3178 - 3197.
IEEE MODARRESI J,HOOSHMAND R "A new combined method for RMS calculation based on wavelet packet and Hilbert transform." , ss.3178 - 3197, 2016.
ISNAD MODARRESI, Javad - HOOSHMAND, Rahmat Allah. "A new combined method for RMS calculation based on wavelet packet and Hilbert transform". (2016), 3178-3197.
APA MODARRESI J, HOOSHMAND R (2016). A new combined method for RMS calculation based on wavelet packet and Hilbert transform. Turkish Journal of Electrical Engineering and Computer Sciences, 24(4), 3178 - 3197.
Chicago MODARRESI Javad,HOOSHMAND Rahmat Allah A new combined method for RMS calculation based on wavelet packet and Hilbert transform. Turkish Journal of Electrical Engineering and Computer Sciences 24, no.4 (2016): 3178 - 3197.
MLA MODARRESI Javad,HOOSHMAND Rahmat Allah A new combined method for RMS calculation based on wavelet packet and Hilbert transform. Turkish Journal of Electrical Engineering and Computer Sciences, vol.24, no.4, 2016, ss.3178 - 3197.
AMA MODARRESI J,HOOSHMAND R A new combined method for RMS calculation based on wavelet packet and Hilbert transform. Turkish Journal of Electrical Engineering and Computer Sciences. 2016; 24(4): 3178 - 3197.
Vancouver MODARRESI J,HOOSHMAND R A new combined method for RMS calculation based on wavelet packet and Hilbert transform. Turkish Journal of Electrical Engineering and Computer Sciences. 2016; 24(4): 3178 - 3197.
IEEE MODARRESI J,HOOSHMAND R "A new combined method for RMS calculation based on wavelet packet and Hilbert transform." Turkish Journal of Electrical Engineering and Computer Sciences, 24, ss.3178 - 3197, 2016.
ISNAD MODARRESI, Javad - HOOSHMAND, Rahmat Allah. "A new combined method for RMS calculation based on wavelet packet and Hilbert transform". Turkish Journal of Electrical Engineering and Computer Sciences 24/4 (2016), 3178-3197.