Skip to main content
Log in

Influence of the inverse-time protection relays on the voltage dip index

  • Published:
Journal of Shanghai Jiaotong University (Science) Aims and scope Submit manuscript

Abstract

The probability-assessment analyses on the characteristic value of voltage dip by using Monte Carlo stochastic modeling method to stimulate the randomness of the short circuit fault are introduced. Using Matlab and Power Systems CAD (PSCAD), we design control interface which combines the electromagnetic transient simulation with the Monte Carlo method. Specifically, the designing of interface which is meant to employ the method of Matlab programming to control the electromagnetic transients including direct current (EMTDC) simulation is introduced. Furthermore, the influences of the protection devices on the voltage dip to ensure the authenticity and the referential reliability are simulated. A system with the inverse-time protection devices equipped on each line which can coordinate together is designed to cut off the short-circuit fault. The voltage dip of the designed system is assessed by the pre- and post-system average root mean square (RMS) variation frequency index, and the voltage dip index is compared with the Information Technology Industry Council (ITIC) curves. The simulation results demonstrate that the inverse-time relay protection equipments are well-coordinated, and the severity and the range of the voltage dip are influenced by the cooperation of the equipped inverse-time protection devices.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Honrubia-Escribano A, Gómez-Lázaro E, Molina-Garcia A, et al. Influence of voltage dips on industrial equipment: Analysis and assessment [J]. International Journal of Electrical Power & Energy Systems, 2012, 41(1): 87–95.

    Article  Google Scholar 

  2. Ai Q, Zhou Y G, Xu W H. Adaline and its application in power quality disturbances detection and frequency tracking [J]. Electric Power Systems Research, 2007, 77(5): 462–469.

    Article  Google Scholar 

  3. Jin Z J, Wang F H, Zhu Z S. Application of extended Kalman filter to the modeling of electric arc furnace for power quality issues [J]. Journal of Shanghai Jiaotong University (Science), 2007, 12(2): 257–262.

    Google Scholar 

  4. Wang C, Cheng H Z, Hu Z C, et al. Distribution system optimization planning based on plant growth simulation algorithm [J]. Journal of Shanghai Jiaotong University (Science), 2008, 13(4): 462–467.

    Article  MATH  Google Scholar 

  5. Won D J, Ahn S J, Moon S I. A modified sag characterization using voltage tolerance curve for power quality diagnosis [J]. IEEE Transactions on Power Delivery, 2005, 20(4): 2638–2643.

    Article  Google Scholar 

  6. Martinez J A, Martin-Arnedo J. Voltage sag stochastic prediction using an electromagnetic transients program [J]. IEEE Transactions on Power Delivery, 2004, 19(4): 1975–1982.

    Article  Google Scholar 

  7. Song Yun-ting, Guo Yong-ji, Zhang Rui-hua. Probabilistic assessment of voltage sags and momentary interruption based on MONTE-CARLO simulation [J]. Automation of Electric Power Systems, 2003, 27(18): 47–51 (in Chinese).

    Google Scholar 

  8. Martinez J A, Martin-Arnedo J. Voltage sag analysis using an electromagnetic transients program [C]//Proceedings of Power Engineering Society Winter Meeting. [s.l.]: IEEE, 2002: 1135–1140

    Google Scholar 

  9. Martinez J A, Martin-Arnedo J. Voltage sag studies in distribution networks. Part I. System modeling [J]. IEEE Transactions on Power Delivery, 2006, 21(3): 1670–1678.

    Article  Google Scholar 

  10. Martinez J A, Martin-Arnedo J. Voltage sag studies in distribution networks. Part II. Voltage sag assessment [J]. IEEE Transactions on Power Delivery, 2006, 21(3): 1679–1688.

    Article  Google Scholar 

  11. Martinez J A, Martin-Arnedo J. Voltage sag studies in distribution networks. Part III. Voltage sag index calculation [J]. IEEE Transactions on Power Delivery, 2006, 21(3): 1689–1697.

    Article  Google Scholar 

  12. Benmouyal G, Meisinger M, Burnworth J, et al. IEEE standard inverse-time characteristic equations for overcurrent relays [J]. IEEE Transactions on Power Delivery, 1999, 14(3): 868–872.

    Article  Google Scholar 

  13. Tan J C, Mclaren PG, Jayasinghe R P, et al. Software model for inverse time overcurrent relays incorporating IEC and IEEE standard curves [C]//Proceedings of the 2002 IEEE Canadian Conference on Electrical & Computer Engineering. [s.l.]: IEEE, 2002: 37–41.

    Google Scholar 

  14. BS EN 61000-4-11(2004), Electromagnetic compatibility (EMC) testing and measurement techniques, voltage dips, short interruptions and voltage variations immunity tests [S].

    Google Scholar 

  15. BS EN 61000-4-11 (2004), Electromagnetic compatibility (EMC) testing and measurement techniques, voltage dips, short interruptions and voltage variations immunity tests [S].

    Google Scholar 

  16. Urdaneta A J, Restrepo H, Márquez S, et al. Coordination of directional overcurrent relay timing using linear programming [J]. IEEE Transactions on Power Delivery, 1996, 11(1): 122–129.

    Article  Google Scholar 

  17. Wang J, Chen S, Lie T T. System voltage sag performance estimation [J]. IEEE Transactions on Power Delivery, 2005, 20(2): 1738–1747.

    Article  Google Scholar 

  18. Gupta C P, Milanovic J V. Probabilistic assessment of equipment trips due to voltage sags [J]. IEEE Transactions on Power Delivery, 2006, 21(2): 711–718.

    Article  Google Scholar 

  19. Aung M T, Milanovic J V. Stochastic prediction of voltage sags by considering the probability of the failure of the protection system [J]. IEEE Transactions on Power Delivery, 2006, 21(1): 322–329.

    Article  Google Scholar 

  20. Xiao Xiang-ning, Tao Shun. Voltage sags types under different grounding modes of neutral and their propagation: Part I [J]. Transactions of China Electrotechnical Society, 2007, 22(9): 143–153 (in Chinese).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xin-ke Gao  (高新科).

Additional information

Foundation item: the Henan Tackle Key Problem of Science and Technology (No. 102102210454), and the Foundation of Education Committee of Henan Province (No. 2011B520028)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, Xk., Liu, Yp. Influence of the inverse-time protection relays on the voltage dip index. J. Shanghai Jiaotong Univ. (Sci.) 19, 354–360 (2014). https://doi.org/10.1007/s12204-014-1509-3

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12204-014-1509-3

Key words

CLC number

Navigation