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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
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ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
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  3/2015 - 4

Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing Techniques

VUJOSEVIC, S. See more information about VUJOSEVIC, S. on SCOPUS See more information about VUJOSEVIC, S. on IEEExplore See more information about VUJOSEVIC, S. on Web of Science, MUJOVIC, S. See more information about  MUJOVIC, S. on SCOPUS See more information about  MUJOVIC, S. on SCOPUS See more information about MUJOVIC, S. on Web of Science, DAKOVIC, M. See more information about DAKOVIC, M. on SCOPUS See more information about DAKOVIC, M. on SCOPUS See more information about DAKOVIC, M. on Web of Science
 
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Download PDF pdficon (1,202 KB) | Citation | Downloads: 226 | Views: 799

Author keywords
empirical mode decomposition method, harmonics, power quality, short time Fourier transform, switching surges

References keywords
power(22), quality(10), analysis(10), time(7), transmission(5), systems(5), line(5), vujosevic(4), upec(4), system(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-08-31
Volume 15, Issue 3, Year 2015, On page(s): 23 - 32
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.03004
Web of Science Accession Number: 000360171500004
SCOPUS ID: 84940747691

Abstract
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Switching surges can cause voltage conditions degradation, and this paper presents a new approach in their analysis. Besides the amplitude properties, regarding to power quality, it is important to know the structure of their harmonic spectrum. For that purpose, characteristic surges (energization and deenergization of an unloaded 35 kV underground cable, energization of an unloaded 10 kV underground cable and deenergization of a 10 kV overhead line, with a multiple appearance of the arc between the circuit breaker contacts) were analyzed. The signals were obtained by an experiment, so the occurrence of noise makes them much more complex to analyze than the simulated ones. Their harmonic decomposition was performed by digital signal processing methods - Empirical Mode Decomposition and Short Time Fourier Transform. The obtained results were compared to the calculated ones, which allowed us to draw conclusions related to applied methods efficiency and characteristic harmonics values that occur during the switching surges. The performed analysis allows us to get a deeper insight into transient processes in the real transmission power lines. The obtained results can be especially useful to detect the locations of occurrence of various types of surges and for development of real-time power quality monitoring systems.


References | Cited By  «-- Click to see who has cited this paper

[1] P. Caramia, G. Carpinelli, and P. Verde, "Power Quality Indices in Liberalized Market", Wiley, Chichester, U.K, 2009.
[CrossRef]


[2] E. Fuchs, M. Masoum, "Power Quality in Power Systems and Electrical Machines", Elsevier Academic Press, Burlington, 2008.

[3] J. M. Knezevic, V. A. Katic, "The hybrid method for on-line harmonic analysis", Advances in Electrical and Computer Engineering, Vol. 11, No. 3, 2011, pp. 29 - 34.
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 5]


[4] A. Miron, M. D. Chindris, A. C. Cziker, "Software Tool for Real-Time Power Quality Analysis," Advanced in Electrical and Computer Engineering, Vol. 13, No. 4, 2013, pp. 125-132.
[CrossRef] [Full Text] [Web of Science Times Cited 1] [SCOPUS Times Cited 2]


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[CrossRef] [SCOPUS Record]


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[CrossRef] [SCOPUS Record]


[7] S. Skuletic, S. Vujosevic, "Possibilities for an analysis of switching overvoltages due to three-phase faults tripping with a discrete method", 35th UPEC 2000 Conf., Sept. 2000, Belfast, NIrl., P. No. 2.

[8] S. Skuletic, S. Vujosevic, "Analysis of switching overvoltages originated by line energizing in simple and complex systems", 36th UPEC 2001 Conf., September 2001, Swansea, UK, Paper No. 413.

[9] A. I. Ramirez, A. Semlyen, R. Iravani, "Modeling Nonuniform Transmission Lines for Time Domain Simulation of Electromagnetic Transients", IEEE Trans, on Power Delivery, Vol. 18, No.3, Jully 2003, pp. 968-974.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 22]


[10] S. Vujosevic, S. Skuletic, "Energization of an unloaded three-phase transmission line with consideration of frequency dependent parameters, corona effects and dissipations of circuit breaker switching moments", 40th UPEC 2005 Conference, Cork, UK, September 2005, paper No.95.

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[CrossRef] [Web of Science Times Cited 102] [SCOPUS Times Cited 176]


[12] N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N-C. Yen, C. C. Tung, and H. H. Liu, "The Empirical Mode Decomposition and the Hilbert-Spectrum for Nonlinear and Non-stationary Time Series Analysis", Proc. R. Soc. London, Vol. 454, No. 1971, 1998, pp. 903-995.
[CrossRef]


[13] Z. Lu, J. S. Smith, Q. H. Wu, J. Fitch, "Empirical Mode Decomposition For Power Quality Monitoring", 2005 IEEE/PES Conference, 2005, Dalian, pp. 1-5.
[CrossRef] [SCOPUS Times Cited 20]


[14] S. Vujosevic, J. Radovic, M. Dakovic, "EMD And STFT Signal Processing Methods Used for the Analysis of the Energisation of an Unloaded Three-Phase Transmission Line", 44th UPEC 2009 Conference, 2009, Glasgow, Schotland.

[15] M. Ortis, S. Valero, A. Gabaldon, "Transient Power and Quality Events Analysed Using Hilbert Transforms", Journal of Energy and Power Engineering, Vol. 6, 2012, pp 230-239.
[CrossRef] [SCOPUS Record]


[16] A. Elmitwally, S. Mahmoud, M. H. Abdel-Rahman, "Fault Identification of Overhead Transmission Lines Terminated with Underground Cables", 14th International Middle East Power Systems Conference, December 2010, Cairo, Egypt, Paper ID 202.

[17] B. K. Panigrahi, V. R. Pandi, "Oprimal feature for classification of power quality disturbances using wavelet packet-based fuzzy k-nearest neighbour algorithm", IET Generation, Transimission and Distribution, Vol. 3, No. 3, 2009, pp. 296-306.
[CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 65]


[18] C. F. Norman, J. Y. C. Chan, W.-Hong Lau, J. T.Y. Poon, and L.L. Lai, Fellow, "Real-Time Power Quality Monitoring With Hybrid Sinusoidal and Lifting Wavelet Compression Algorithm", IEEE Trans. On Power Delivery, Vol. 27, No. 4, 2012, pp. 1718-1726.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 9]


[19] J. Barros, R. I. Diego, M. de Apraiz,"Application of wavelets in electric power quality: Voltage events", Electrical Power System Research, Vol. 88, 2012, pp.130-136.
[CrossRef] [Web of Science Times Cited 20] [SCOPUS Times Cited 26]


[20] C. Y. Lee, Y.-X. Shen, "Optimal feature Selection for Power Quality Didsturbances Classification", IEEE Trans. On Power Delivery, Vol. 26, No. 4, 2011, pp. 2342-2351.
[CrossRef]


[21] S. Avdakovic, A. Nuhanovic, M. Kusljugic, M. Music, "Wavlet transform application in power system dynamic, Electrical Power System Research, Vol. 83, 2012, pp. 237-245.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 27]


[22] L. J. Stankovic, M. Dakovic, T. Thayaparan, "Time-Frequency Signal Analysis with Applications", Artech House, Boston, USA, 2013.

[23] V. Maier, S. G. Pavel, C. D. Maier, I. Birou, "Correct Application of the Discrete Fourier Transform in Harmonics," Advanced in Electrical and Computer Engineering, Vol. 8, No. 1, 2009, pp. 26-30.
[CrossRef] [Full Text] [SCOPUS Times Cited 7]


[24] I. W. C. Lee, P. K. Dash, "S-transform-based intelligent system for classification of power quality disturbance signals", IEEE Trans. on Industrial Electronics, Vol. 50, No. 4, 2003, pp. 800-805.
[CrossRef] [Web of Science Times Cited 63] [SCOPUS Times Cited 118]


[25] L. Bin, S. H. Chun, "Research on Fault Line Detecting Based on Empirical Mode Decomposition (EMD) in Resonant Grounded Systems", APPEEC 2009 Conference, March 2009, Wuhan, pp. 1-5.
[CrossRef] [SCOPUS Record]


[26] B. Bjelica, M. Dakovic, LJ. Stankovic, T. Thayaparan, "Complex Empirical Decomposition method in radar signal processing," 2012 MECO Conference, June 2012, Bar, Montenegro, pp.88-91



References Weight

Web of Science® Citations for all references: 280 TCR
SCOPUS® Citations for all references: 477 TCR

Web of Science® Average Citations per reference: 10 ACR
SCOPUS® Average Citations per reference: 18 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2016-12-01 15:29 in 98 seconds.




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