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Transient inrush current detection and classification in 230 kV shunt capacitor bank switching under various transient-mitigation methods based on discrete wavelet transform

Transient inrush current detection and classification in 230 kV shunt capacitor bank switching under various transient-mitigation methods based on discrete wavelet transform

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To avoid the failure of instantaneous overcurrent relays (50) owing to fails triggered by transient inrush currents during capacitor-bank switching, this study describes a new approach to detect and classify high-transient inrush current. These currents are due to the energisation of a shunt capacitor bank, rated 4 × 72 Mvar/230 kV, in a substation system in Thailand. The simulation tool power systems computer-aided design (PSCAD) is used to simulate the transient inrush current using six transient-mitigation methods, i.e. (i) a base case, (ii) a pre-insertion resistor, (iii) a pre-insertion inductor, (iv) a current-limiting reactor, (v) a series 6% reactor and (vi) synchronous closing control. Inrush current signals from PSCAD were used as inputs for discrete wavelet transforms. On a scale from 1 to 30, the maximum value of the wavelet coefficient is used to detect the inrush current. The high value of the standard deviation of the wavelet-scale analysis is used to discriminate between the high transient inrush current and the normal capacitor rate current. The results obtained show that the newly proposed method effectively detects and discriminates the capacitor switching inrush current, both isolated and back-to-back switching, with high accuracy.

References

    1. 1)
      • 1. Kalyuzhny, A., Reshef, B., Yehuda, G., et al: ‘Design of capacitor bank in parallel to photovoltaic power plant’. IEEE EUROCON 2013, Zagreb, Croatia, July 2013, pp. 13621368.
    2. 2)
      • 2. Tilakul, K., Buasri, P., Kaewrawang, A., et al: ‘Capacitor location and size determination to reduce power losses of a distribution feeder in Lao PDR’, Int. J. Comput. Electr. Eng., 2012, 4, pp. 3236.
    3. 3)
      • 3. Manglani, T., Shishodia, Y.S.: ‘A survey of optimal capacitor placement techniques on distribution lines to reduce losses’, Int. J. Recent Res. Rev., 2005, 1, pp. 17.
    4. 4)
      • 4. Grunbaum, R., Ingestrom, G., Ekehov, B., et al: ‘765 kV series capacitors for increasing power transmission capacity to the cape region’. IEEE 2012 Power Engineering Society Conf. Exposition in Africa (Power Africa), Johannesburg, South Africa, July 2012, pp. 18.
    5. 5)
      • 5. IEEE Standard 1036-2010: ‘IEEE guide for application of shunt power capacitors’, 2010.
    6. 6)
      • 6. Patcharoen, T., Ngaopitakkul, A., Pothisarn, C., et al: ‘Simulation analysis of the switching of 230 kV substation shunt capacitor banks with a 6% series reactor for limiting transient inrush currents and oscillation overvoltage’, Electr. Eng., 2018, 100, (2), pp. 125.
    7. 7)
      • 7. IEEE Standard C37.99-2012: ‘IEEE guide for the protection of shunt capacitor banks’, 2012.
    8. 8)
      • 8. IEC Standard 60871-1: ‘Shunt capacitors for A.C. power systems having a rated voltage above 1000 V – part 1: general’, 2014.
    9. 9)
      • 9. Mokryani, G., Siano, P., Piccolo, A.: ‘Detection of inrush current using S-transform and competitive neutral network’. 12th Int. Conf. Optimization of Electrical and Electronic Equipment (OPTIM), Brasov, Romania, May 2010, pp. 191196.
    10. 10)
      • 10. Farias, P.E., Peres de Morais, A., Cardoso, G., et al: ‘Transients detection and classification in distribution networks for high impedance faults identification’. 49th Int. Universities Power Engineering Conf. (UPEC), Cluj-Napoca, Romania, September 2014, pp. 16.
    11. 11)
      • 11. Buggaveeti, S.K., Brahma, S.M.: ‘A morphological filter to distinguish a fault from capacitor switching’. 2010 IEEE PES Transmission and Distribution Conf. Exposition, New Orleans, LA, USA, June 2010, pp. 15.
    12. 12)
      • 12. Buggaveeti, S.K., Brahma, S.M.: ‘Improved overcurrent protection of capacitor banks using mathematical morphology’, IEEE Trans. Power Deliv., 2011, 26, (3), pp. 19721979.
    13. 13)
      • 13. Tan, R.H.G., Ramachandaramurthy, V.K.: ‘Capacitor bank switching classification using scale selection continuous wavelet transform’. Int. Conf. Power Electronics and Drive Systems (PEDS), Taipei, Taiwan, January 2010, pp. 950955.
    14. 14)
      • 14. Perera, N., Rajapakse, A.D.: ‘Power system transient classification for protection relaying’. 13th Int. Conf. Harmonics and Quality of Power, Wollongong, NSW, Australia, November 2008, pp. 16.
    15. 15)
      • 15. Chacon, M.I., Duran, J.L., Santiesteban, L.A.: ‘A wavelet-fuzzy logic based system to detect and identify electric power disturbances’. IEEE Symp. Computational Intelligence in Image and Signal Processing (CIISP), Honolulu, HI, USA, June 2007, pp. 5257.
    16. 16)
      • 16. Das, J.C.: ‘Analysis and control of large-shunt-capacitor-bank switching transients’, IEEE Trans. Ind. Appl., 2005, 41, (6), pp. 14441451.
    17. 17)
      • 17. Ali, S.A.: ‘Capacitor banks switching transients in power systems’, Can. Res. Dev. Center Sci. Cult. Energy Sci. Technol., 2011, 2, (2), pp. 6273.
    18. 18)
      • 18. Iizarry-Silvestrini, M.F., Vélez-Sepúlveda, T.E.: ‘Mitigation of back-to-back capacitor switching transients on distribution circuits’. Department of Electrical and Computer Engineering, University of Puerto Rico, 2006.
    19. 19)
      • 19. Suwanasri, T., Wattanawongpitak, S., Suwanasri, C.: ‘Multi-step back-to-back capacitor bank switching in a 115 kV substation’. Int. Conf. Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), Chiang Mai, Thailand, June 2010, pp. 459463.
    20. 20)
      • 20. EMTDC: transient analysis for PSCAD power system simulation, Manitoba HVDC research centre’ (Manitoba HVDC Research Centre Inc., Manitoba, 2003).
    21. 21)
      • 21. Transmission System Operation Planning Department: ‘Switching and transmission line diagram’ (Electricity Generation Authorization Thailand Press, Bangkok, Thailand, 2010).
    22. 22)
      • 22. Masoum, M.A.S., Jamali, S., Ghaffarzadeh, N.: ‘Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks’, IET Sci., Meas. Technol. Meas. Technol., 2009, 4, (4), pp. 193205.
    23. 23)
      • 23. Rodrfguez, A., Aguado, J., Martin, F., et al: ‘Classification of power quality disturbances using wavelet and artificial neural network’. Int. Conf. Power System Technology (POWERCON), Hangzhou, China, December 2010, pp. 17.
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