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Comparative Study of Optimal Overcurrent Relay Coordination Using Metaheuristic Techniques

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Computational Intelligence in Data Mining

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 711))

Abstract

For the protection of power system, Directional Overcurrent Relays (DOCRS) are generally used as an economical means for protection in sub-transmission and distribution systems. Thus, it is required that relay has minimum operating time on the occurrence of fault keeping the operation coordinated with other relays. In our paper, a comparative analysis for optimal overcurrent relay coordination based on different metaheuristic techniques such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Cuckoo Search Algorithm (CSA), and Firefly Algorithm (FFA) is analyzed. The various heuristic techniques are executed on different number of relays for constrained systems and the method which gives the operating time with minimum iterations and time is found.

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References

  1. Hassan A. Kubba., Samir Sami Mahmood: Genetic algorithm based load flow solution problem in electrical power systems. Journal of Engineering. IEEE Volume 15 (2009).

    Google Scholar 

  2. Madhumitha R., Parul Sharma., Deepika Mewara: Optimum Coordination of Overcurrent Relays using Dual Simplex and Genetic Algorithms. IEEE International Conference on Computational Intelligence and Communication Networks (2015).

    Google Scholar 

  3. Dusit Uthitsunthom., Thanatchai Kulworawanichpong: Optimal Overcurrent Relay Coordination using Genetic Algorithms. IEEE International Conference on Advances in Energy Engineering (2010).

    Google Scholar 

  4. Dusit Uthitsunthom., Thanatchai Kulworawanichpong: Optimal Overcurrent Relay Coordination using Genetic Algorithms. IEEE International Conference on Advances in Energy Engineering (2010).

    Google Scholar 

  5. S. S. Gokhale., V. S. Kale: Time overcurrent relay coordination using the Levy flight Cuckoo search algorithm. TENCON 2015 IEEE Region 10 Conference (2015).

    Google Scholar 

  6. S. S. Gokhale., Dr. V. S. Kale: Application of the Firefly Algorithm to Optimal Over-Current Relay Coordination. IEEE International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) (2014).

    Google Scholar 

  7. Ritesh Rawat., Vijay S. Kale: Application of Nature Inspired Metaheuristic Techniques to Overcurrent Relay Coordination. IEEE FTC - Future Technologies Conference (2016).

    Google Scholar 

  8. Xin-She Yang: Nature-Inspired Optimization Algorithms. Book Aid international publications.

    Google Scholar 

  9. Rania Hassan., Babak Cohanim., Olivier de Weck: A comparison of particle swarm optimization and the genetic algorithm. Conference on Proceedings of the 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Material Conference (2005).

    Google Scholar 

  10. Dharmendra Kumar Sing., Shubhrata Gupta: Use of Genetic Algorithms (GA) for Optimal Coordination of Directional Over Current Relays. IEEE Students Conference on Engineering and Systems (SCES) (2012).

    Google Scholar 

  11. G.U. Darji., M.J. Patel., V.N. Rajput., K.S. Pandya: A tuned cuckoo search algorithm for optimal coordination of directional overcurrent relays. IEEE International Conference on Power and Advanced Control Engineering (ICPACE) (2015).

    Google Scholar 

  12. Divya S Nair., Reshma S: Optimal coordination of protective relays. IEEE International Conference on Power, Energy and Control (ICPEC) (2013).

    Google Scholar 

  13. Seyed Hadi., Mousavi Motlagh., Kazem Mazlumi: Optimal Overcurrent Relay Coordination Using Optimized Objective Function. ISRN Power Engineering vol. 2014, Article ID 869617 (2014).

    Google Scholar 

  14. Shimpy Ralhan., Shashwati Ray: Directional Overcurrent Relays Coordination using Linear Programming Intervals: A Comparative Analysis. IEEE Annual India Conference (INDICON) (2013).

    Google Scholar 

  15. Jagdish Madhukar Ghogare., V. N. Bapat: Field Based Case Studies On Overcurrent Relay Coordination Optimization Using GA-NLP Approach. IEEE CONNECT (2015).

    Google Scholar 

  16. Yaser Damchi., Javad Sadeh., Habib Rajabi Mashhadi: Optimal coordination of distance and overcurrent relays considering a non-standard tripping characteristic for distance relays. IET gen. trans. Distri. vol. 6, pp. 1448–1457 (2016).

    Google Scholar 

  17. T. V. Dixit, Anamika Yadav., S Gupta: Optimization of PV array inclination in India using ANN estimator: Method comparison study. Sadhana Vol. 40, Part 5, pp. 1457–1472, Indian Academy of Sciences (2015).

    Article  Google Scholar 

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Ralhan, S., Goswami, R., Ray, S. (2019). Comparative Study of Optimal Overcurrent Relay Coordination Using Metaheuristic Techniques. In: Behera, H., Nayak, J., Naik, B., Abraham, A. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-10-8055-5_30

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