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Location where to get the Complete Article --> Ambient Science: Vol 3, No 2 (2016): 37-41

ISSN- 2348-5191 (Print version); 2348-8980 (Online)

Proposed Suitable Methods to Detect Transient Regime Switching to Improve Power Quality with Wavelet Transform

Javad Safaee Kuchaksaraee*, Soodabeh Soleymani, Babak Mozafari


The increasing consumption of electrical energy and the use of non-linear loads that create transient regime states in distribution networks is increasing day by day. This is the only reason due to which the analysis of power quality for energy sustainability in power networks has become more important. Transients are often created by energy injection through switching or lightning and make changes in voltage and nominal current. Sudden increase or decrease in voltage or current makes characteristics of the transient regime. This paper shed some lights on the capacitor bank switching, which is one of the main causes for oscillatory transient regime states in the distribution network, using wavelet transform. The identification of the switching current of capacitor bank and the internal fault current of the transformer to prevent the unnecessary outage of the differential relay, it propose a new smart method. The accurate performance of this method is shown by simulation in EMTP and MATLAB (matrix laboratory) software.


  • Abu-Elanien, A.E.B.; Salama, M.M.A.; (2009 ): A Wavelet-ANN Technique for Locating Switched Capacitors in Distribution Systems. IEEE Trans. PowerDel., (24)2: 400-409.
  • Boris, B. & Peter, P. (2006): Classification of Power Disturbances using Fuzzy Logic”, Proc. of IEEE Power Electronics and Motion Control Conference, EPE-PEMC, 2006.
  • Guzman, A., Zocholl, S., Benmouryal, G. & Altuve, H.J. (2001): A current based solution for transformer differential protection—Part I: Problem statement, IEEE Trans. Power Del., (16)4:485–491.
  • IEEE (1992): Guide for Application of Shunt Power Capacitors, IEEE Std. 1036-1992, New York.
  • Kanitpanyacharoean, W. & Premrudeepreechacharn, S. (2004): Power quality problem classification using wavelet transformation and artificial neural networks. In Proc. of Power System Conf. and Exposition, pages: 1496-1501.
  • Karthik, N., Gafoor, S.A. & Kalavathi, M.S. (2011): Classification of Power quality problems by wavelet Fuzzy expert system. IEEE Trans. Power Del., (1)3.
  • Kim, J., Grady, W.M., Arapostathis, A., Soward, J.C. & Bhatt, S.C. (2002): A time-domain procedure for locating switched capacitors in power distribution systems. IEEE Trans. Power Del., (17)4: 1044-1049.
  • Mohammadi, S., Soleymani, S. & Mozafari, B. (2013a): A stochastic programming approach for optimal microgrid economic operation under uncertainty using 2m+1 point estimate method. J. Ren. Sust. Energy, 5:033-112.
  • Mohammadi, S., Soleymani, S. Mozafari, B. & Niknam, T. (2013b): An Adaptive Modified Firefly Optimisation Algorithm based on Hong’s Point Estimat Method to optimal Method operation management in a microgrid with consideration of uncertainties. Energy, 51:339-348.
  • Mohammadi, S., Soleymani, S. & Mozafari, B. (2014): Scenario-based stochastic operation management of Micro Grid including Wind, photovoltaic, Micro-Turbin, Fuel Cell and Energy Storage Devices. Int. J. Elec. Power ., 54:525-535.
  • Parsons, A. C., Grady, W.M., Powers, E. J. & Soward, J. C. (2000): A direction finder for disturbances based upon disturbance power and energy. IEEE Trans. Power Del., 15(3): 1081-1086.
  • Wang, M.H, Tseng, Y-F. (2011): A novel analytic method of power quality using extension genetic algorithm and wavelet transform. Expert Sys. Appl., 38:12491-12496

  • DOI:10.21276/ambi.2016.03.2.Ta03

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    Published by: National Cave Research and Protection Organization, India

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