INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
Next
|
|
|
Effect of metal oxide arrester on the chaotic oscillations in the voltage transformer with nonlinear core loss model using chaos theory |
Hamid Reza Abbasia, Ahmad Gholamia, Seyyed Hamid Fathib, Ataollah Abbasib |
a Iran University of Science & Technology, Electrical & Electronic Engineering Department, Narmak 1684613144, Tehran, Iran; b Amirkabir University, Electrical Engineering Department, Tehran 64540, Iran |
|
|
Abstract In this paper, controlling chaos when chaotic ferroresonant oscillations occur in a voltage transformer with nonlinear core loss model is performed. The effect of a parallel metal oxide surge arrester on the ferroresonance oscillations of voltage transformers is studied. The metal oxide arrester (MOA) is found to be effective in reducing ferroresonance chaotic oscillations. Also the multiple scales method is used to analyze the chaotic behavior and different types of fixed points in ferroresonance of voltage transformers considering core loss. This phenomenon has nonlinear chaotic dynamics and includes sub-harmonic, quasi-periodic, and also chaotic oscillations. In this paper, the chaotic behavior and various ferroresonant oscillation modes of the voltage transformer is studied. This phenomenon consists of different types of bifurcations such as period doubling bifurcation (PDB), saddle node bifurcation (SNB), Hopf bifurcation (HB), and chaos. The dynamic analysis of ferroresonant circuit is based on bifurcation theory. The bifurcation and phase plane diagrams are illustrated using a continuous method and linear and nonlinear models of core loss. To analyze ferroresonance phenomenon, the Lyapunov exponents are calculated via the multiple scales method to obtain Feigenbaum numbers. The bifurcation diagrams illustrate the variation of the control parameter. Therefore, the chaos is created and increased in the system.
|
Received: 19 March 2013
Revised: 14 June 2013
Accepted manuscript online:
|
PACS:
|
82.40.Bj
|
(Oscillations, chaos, and bifurcations)
|
|
95.10.Fh
|
(Chaotic dynamics)
|
|
75.60.Ej
|
(Magnetization curves, hysteresis, Barkhausen and related effects)
|
|
05.45.-a
|
(Nonlinear dynamics and chaos)
|
|
Corresponding Authors:
Hamid Reza Abbasi
E-mail: habbasi@iust.ac.ir
|
Cite this article:
Hamid Reza Abbasi, Ahmad Gholami, Seyyed Hamid Fathi, Ataollah Abbasi Effect of metal oxide arrester on the chaotic oscillations in the voltage transformer with nonlinear core loss model using chaos theory 2014 Chin. Phys. B 23 018201
|
[1] |
Milicevic K and Emin Z 2011 Int. J. Circ. Theory Appl. 41 259
|
[2] |
Forsen A and Kristiansson L 1974 Int. J. Circ. Theory Appl. 2 13
|
[3] |
Hui M, Zhang Y B and Liu C X 2008 Chin. Phys. B 17 3258
|
[4] |
Charalambous C A, Sturgess J P and Wang Z D 2011 IET Gener. Transm. Dis. 5 640
|
[5] |
Nikolaidis V C, Milis I and Rizopoulos G 2012 IEEE Trans. Power Del 27 300
|
[6] |
Sakarung P and Chatratana S 2005 International Conference on Power Systems Transients, June 2005 Canada, p. 19
|
[7] |
Kavasseri R G 2006 Elect. Power Energy Syst. 28 207
|
[8] |
Escudero M V, Dudurych I and Redfern M A 2007 Elect. Power Energy Syst. 77 1506
|
[9] |
Wornle F, Harrison D K and Zhou C 2005 IEEE Trans. Power Del. 20 191
|
[10] |
Emin Z, Al-Zahawi B A T, Tong Y K and Ugur M 2001 IEEE Trans. Circ. Syst. I 48 757
|
[11] |
Rezaei-Zare A, Sanaye-Pasand M, Mohseni H, Farhangi Sh and Iravani R 2007 IEEE Trans. Power Del. 22 919
|
[12] |
Ben-Tal A, Shein D and Zissu S 1999 Elect. Power Syst. Res. 49 175
|
[13] |
Moses P S, Masoum M A S and Toliyat H A 2011 IEEE Trans. Energy Conversion 26 581
|
[14] |
Mozaffari S, Sameti M and Soudack A C 1997 IEE Proc. Gen. Trans. Dist. 144 456
|
[15] |
Kuznetsov Y A 1998 Elements of Applied Bifurcation Theory (2nd edn.) (New York: Springer Verlag) pp. 1–115
|
[16] |
Abbasi H R, Gholami A, Rostami M and Abbasi A 2011 Iranian Journal of Electrical & Electronic Engineering 7 42
|
[17] |
Kousaka T, Ueta T, Ma Y and Kawakami H 2005 Int. J. Circ. Theory Appl. 33 263
|
[18] |
Tse C K 1994 Int. J. Circ. Theory Appl. 22 263
|
[19] |
He S B, Sun K H and Zhu C X 2013 Chin. Phys. B 22 050506
|
[20] |
Zhang X D, Liu X D, Zheng Y and Liu C 2013 Chin. Phys. B 22 030509
|
[21] |
Chakravarthy S K and Nayar C V 1995 Elect. Power Energy Syst. 17 267
|
[22] |
Abbasi A, Radmanesh H, Rostami M and Abbasi H 2009 IEEE Conference of EEEIC09, November 2009 Wroclaw, Poland, p. 97
|
[23] |
Abbasi A, Rostami M, Radmanesh H and Abbasi H R 2009 IEEE Conference of EEEIC09, November 2009 Wroclaw, Poland, p. 76
|
[24] |
Al Anbari K, Ramanjam R, Keerthiga T and Kuppusamy K 2001 IEE Proc. Gen. Trans. Dist. 148 562
|
[25] |
Al Anbarri K, Ramanujam R, Saravanaselvan R and Kuppusamy K 2003 Elect. Power System Res. 65 1
|
[26] |
Hui M and Liu C X 2010 Chin. Phys. B 19 120509
|
[27] |
Pattanapakdee K and Banmongkol C 2007 International Conference on Power Systems Transients (IPST), June 2007 France, p. 151
|
[28] |
Abbasi A, Rostami M, Fathi S H, Abbasi H R and Abdollahi H 2010 Energy Power. Eng. 2 254
|
[29] |
Escudero M V, Dudurych I and Redfern M A 2007 Elect. Power Syst. Res. 77 1506
|
[30] |
Li N, Yuan H Q, Sun H Y and Zhang Q L 2013 Chin. Phys. B 22 030508
|
[31] |
Ben-Tal A, Kirk V and Wake G 2001 IEEE Trans. Power Del. 16 105
|
[32] |
Zhang R X and Yang S P 2010 Chin. Phys. B 19 020510
|
[33] |
Nayfeh A H 2004 Applied Nonlinear Dynamics Analytical, Computational and Experimental Methods (WILEY-VCH Verlag GmbH & Co. KGaA) pp. 1–225
|
[34] |
Hui M, ZhangY B and Liu C X 2009 Chin. Phys. B 18 1787
|
[35] |
Tse C K 2003 Complex Behavior of Switching Power Converters (Boca Raton, USA: CRC Press) pp. 1–155
|
[36] |
Argyris J, Faust G and Haase M 1994 An Exploration of Chaos (New York: North-Holland)
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|