Skip to main content
SpringerLink
Log in

Optimal coordination of overcurrent relays with constraining communication links using DE–GA algorithm

  • Original Paper
  • Published:
Electrical Engineering Aims and scope Submit manuscript

Abstract

Dynamic changes in the network can occur due to short-circuit conditions, the maloperation of the relays, development, operation, and repairs on any part of the power system. Also, most of the new protective schemes are based on a communication channel, which cannot be guaranteed in practice. In other words, the communication channels are operating with high load and therefore become more vulnerable when the power grid is in contingent conditions. Thus, relying on the communication channel for decision making may not be the optimal solution for protective relays, although it might be beneficial to have information exchange. In this article, a novel protective logic is proposed based on phasor measurement units (PMUs) data for optimal coordination of overcurrent relays. PMUs measure the positive sequence voltage at two substations separated by hundreds of miles which are synchronized precisely with the aid of a GPS satellite system. The precise time-tags are attached with samples, and this information is exchanged over communication channels and collected by control centers and/or substations. By extracting the relevant information from these measurements, phasor information can be obtained at any node where PMUs are installed in the power grid. This can be used to do more accurate state estimation, control, and protection. In these relays, besides current and voltage, phasor information has become an important measurement in decision making. The proposed method is tested on the IEEE 8-bus and 14-bus standard network.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Singh M, Panigrahi BK, Abhyankar AR (2013) Optimal coordination of directional over-current relays using teaching learning-based optimization (TLBO) algorithm. Electr Power Energy Syst 50:33–41

    Article  Google Scholar 

  2. Phadke AG, Thorp JS (2009) Computer relaying for power systems. Wiley, New York

    Book  Google Scholar 

  3. De La Ree J, Liu Y, Mili L, Phadke AG, Dasilva L (2005) Catastrophic failures in power systems: causes, analyses, and countermeasures. Proc IEEE 93(5):956–964

    Article  Google Scholar 

  4. Apt J, Lave LB, Talukdar S, Morgan MG, Ilic M (2004) Electrical Blackouts: A Systemic Problem. SciTechnol 20(4):55–61

    Google Scholar 

  5. Zhang N, Kezunovic M (2006) Improving real-time fault analysis and validating relay operations to prevent of mitigate cascading blackouts. In: Transmission and distribution conference and exposition, 2005/2006 IEEE PES, 2006

  6. U.S.-Canada Power System Outage Task Force (2004) Final report on the August 14, 2003 Blackout in the United States and Canada: causes and recommendations. April 2004

  7. Aminifar F, Fotuhi M, Shahidehpour M, Khodaei A (2011) Probabilistic multistage PMU placement in electric power systems. IEEE Trans Power Deliv 26(2):841–849

    Article  Google Scholar 

  8. Kheirollahi R, Namdari F (2014) Optimal coordination of overcurrent relays based on modified bat optimization algorithm. IntElectrEng J (IEEJ) 5(2):1273–1279

    Google Scholar 

  9. Zellagui M, Chaghi A (2014) Impact of RDG location on IDMT overcurrent relay operation and coordination in MV distribution system. TELKOMNIKA Indones J ElectrEng 12(11):7585–7594

    Google Scholar 

  10. Chelliah TR, Thangaraj R, Allamsetty S, Pant M (2014) Coordination of directional overcurrent relays using opposition based chaotic differential evolution algorithm. Int J Electr Power Energy Syst 55:341–350

    Article  Google Scholar 

  11. Bedekar PP, Bhide SR (2011) Optimum coordination of overcurrent relay timing using continuous genetic algorithm. Expert SystAppl 38(9):11286–11292

    Article  Google Scholar 

  12. Uthitsunthorn D, Kulworawanichpong T (2010) Optimal overcurrent relay coordination using genetic algorithms. In: Advances in energy engineering (ICAEE), international conference on, pp 162–165

  13. Razavi F, Askarian HA, Al-Dabbagh M, Mohammadi R, Torkaman H (2008) A new comprehensive genetic algorithm method for optimal overcurrent relays coordination. Electr Power Syst Res 78(4):713–720

    Article  Google Scholar 

  14. Mansour MM, Mekhamer SF (2007) A Modified particle swarm optimizer for the coordination of directional overcurrent relays. IEEE Trans Power Deliv 20(3):1400–1410

    Article  Google Scholar 

  15. Bansal JC, Deep K (2008) Optimization of directional overcurrent relay times by particle swarm optimization. In: Swarm intelligence symposium SIS, IEEE, pp 1–7

  16. Gallagher PD (2010) NIST framework and roadmap for smart grid inoperability standards, release 1.0. In: NIST Special Publication 118, Office of the National Coordinator for Smart Grid Interoperability, US Department of Commerce, 2010

  17. Wang B, Liu D, Xiong L (2009) An improved ant colony system in optimizing power system PMU placement problem. In: Power and energy engineering conference, Asia-Pacific, pp 1–3

  18. Chakrabarti S, Kyriakides E (2008) Optimal placement of phasor measurement unit for power system observability. IEEE Trans Power Syst 23(3):1433–1440

    Article  Google Scholar 

  19. Aminifar F, Lucas C, Khodaei A, Fotuhi-Firuzabad M (2009) Optimal placement of phasor measurement units using immunity genetic algorithm. IEEE Trans Power Deliv 24(3):1014–1020

    Article  Google Scholar 

  20. Mohammadi-ivatloo B (2009) Optimal placement of PMUs for power system observability using topology based formulated algorithms. J ApplSci 9(13):2463–2468

    Google Scholar 

  21. Dua D, Dambhare S, Gajbhiye RK, Soman SA (2008) Optimal multistage scheduling of PMU placement: an ILP approach. IEEE Trans Power Deliv 23(4):1812–1820

    Article  Google Scholar 

  22. Karegar HK, Abyaneh HA, Ohis V, Meshkin M (2005) Pre-processing of the optimal coordination of overcurrent relays. Electr Power Syst Res 75(2):134–141

    Article  Google Scholar 

  23. Abbasy NH, Ismail HM (2009) A unified approach for the optimal PMU location for power system state estimation. IEEE Trans Power Syst 24(2):806–813

    Article  Google Scholar 

  24. Das S, Suganthan PN (2010) Differential evolution: a survey of the state-of-the-art. IEEE Trans Evol Comp 15(1):4–31

    Article  Google Scholar 

  25. Storn R, Price K (1995) Differential evolution: a simple and efficient adaptive scheme for global optimization over continuo spaces. In: Berkeley: ICSI,vol 3, 1995.

  26. Bedekar PP, Bhide SR (2011) Optimum coordination of directional overcurrent relays using the hybrid GA-NLP approach. IEEE Trans Power Deliv 26(1):109–119

    Article  Google Scholar 

  27. Adelnia F, Moravej Z, Farzinfar M (2015) A new formulation for coordination of directional overcurrent relays in interconnected networks. Int Trans Electr Energy Syst 25(1):120–137

    Article  Google Scholar 

  28. Mohammadi R, Abyaneh HA, Razavi F, Al-Dabbagh M, Sadeghi S (2010) Optimal relays coordination efficient method in interconnected power systems. J ElectrEng 61(2):75–83

    Google Scholar 

  29. Del Valle Y, Venayagamoorthy GK, Mohagheghi S, Hernandez J-C, Harley RG (2008) Particle swarm optimization: basic concepts, variants and applications in power systems. IEEE Trans Evol Comput 12:171–195

    Article  Google Scholar 

  30. Martin K et al (2011) IEEE C37.118.1-2011, IEEE standard for synchrophasor measurements for power systems. IEEE Trans Power Deliv 13:12–23

Download references

Author information

Authors and Affiliations

  1. Department of Engineering, Faculty of Power Engineering, Lorestan University, Lorestan, Iran

    Mohammad Bakhshipour, Farhad Namdari & Sajad Samadinasab

Authors
  1. Mohammad Bakhshipour
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Farhad Namdari
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sajad Samadinasab
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mohammad Bakhshipour.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bakhshipour, M., Namdari, F. & Samadinasab, S. Optimal coordination of overcurrent relays with constraining communication links using DE–GA algorithm. Electr Eng 103, 2243–2257 (2021). https://doi.org/10.1007/s00202-020-01205-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00202-020-01205-1

Keywords

Search

Navigation