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Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing TechniquesVUJOSEVIC, S.   , MUJOVIC, S. , DAKOVIC, M. |
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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
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. |
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| [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 8] [SCOPUS Times Cited 11] [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 5] [SCOPUS Times Cited 5] [5] V. C. Nikolaidis, I. Milis, G. Rizopoulos, "Transient Phenomena Analysis and Protection Evaluation in an Industrial Power Systems", VII MedPower 2010 Conf., Nov. 2010, Agia Napa, Cyprus, pp. 1-10. [CrossRef] [SCOPUS Times Cited 2] [6] M. Davila, J. L. Naredo, P. Moreno, A. Ramirez, "Practical Implementation of a Transmission Line Model for Transient Analysis Considering Corona and Skin Effects", IEEE Bologna Power Tech Conference, 2003, Bologna, Italy. [CrossRef] [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 33] [SCOPUS Times Cited 40] [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. [11] Y. H. Gu, M. H. J. Bollen, "Time-Frequency and Time-scale Domain Analysis of Voltage Disturbances", IEEE Transactions on Power Delivery, Vol. 14, No. 4, October 2000, pp. 1279-1284. [CrossRef] [Web of Science Times Cited 255] [SCOPUS Times Cited 363] [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] [Web of Science Times Cited 16638] [SCOPUS Times Cited 22347] [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 31] [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 Times Cited 3] [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 132] [SCOPUS Times Cited 163] [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 39] [SCOPUS Times Cited 41] [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 60] [SCOPUS Times Cited 79] [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 57] [SCOPUS Times Cited 68] [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] [Web of Science Times Cited 9] [SCOPUS Times Cited 10] [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 140] [SCOPUS Times Cited 219] [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 Times Cited 7] [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 Web of Science® Citations for all references: 17,376 TCR SCOPUS® Citations for all references: 23,389 TCR Web of Science® Average Citations per reference: 644 ACR SCOPUS® Average Citations per reference: 866 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 2024-11-16 05:04 in 151 seconds. Note1: Web of Science® is a registered trademark of Clarivate Analytics. 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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
