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Automatic Overcurrent Protection Coordination after Distribution Network Reconfiguration Based on Peer-To-Peer Communication

Author

Listed:
  • Alex Valenzuela

    (Postgraduate Department, Smart Grid Research Group (GIREI), Universidad Politécnica Salesiana, Quito EC170525, Ecuador
    These authors contributed equally to this work.)

  • Silvio Simani

    (Department of Engineering, University of Ferrara, 44121 Ferrara, Italy
    These authors contributed equally to this work.)

  • Esteban Inga

    (Postgraduate Department, Smart Grid Research Group (GIREI), Universidad Politécnica Salesiana, Quito EC170525, Ecuador
    These authors contributed equally to this work.)

Abstract

Electrical power systems represent a fundamental part of society, and their efficient operations are of vital importance for social and economic development. Power systems have been designed to withstand interruptions under already provided safety and quality principles; however, there are some extreme and not so frequent events that could represent inconveniences for the correct operation of the entire system. For this reason, in recent years the term resilience, which serves to describe the capacity of a system to recover from an unwanted event, has been analyzed on planning, operation and remedial actions. This work is focused on the implementation of a topological reconfiguration tool, which is oriented to change the structure of primary feeders based on changing the status of switchgears. Once the distribution network has been reconfigured, an algorithm of protection coordination is executed based on communication peer-to-peer between Matlab and PowerFactory, which develops an adaptive calculation to determine the current setting and the time multiplier setting. The reconfiguration and coordination protection algorithms could be implemented and evaluated on different distribution networks, areas and locations.

Suggested Citation

  • Alex Valenzuela & Silvio Simani & Esteban Inga, 2021. "Automatic Overcurrent Protection Coordination after Distribution Network Reconfiguration Based on Peer-To-Peer Communication," Energies, MDPI, vol. 14(11), pages 1-22, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3253-:d:567563
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    References listed on IDEAS

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    1. Alex Valenzuela & Iván Montalvo & Esteban Inga, 2019. "A Decision-Making Tool for Electric Distribution Network Planning Based on Heuristics and Georeferenced Data," Energies, MDPI, vol. 12(21), pages 1-18, October.
    2. Alex Valenzuela & Esteban Inga & Silvio Simani, 2019. "Planning of a Resilient Underground Distribution Network Using Georeferenced Data," Energies, MDPI, vol. 12(4), pages 1-20, February.
    3. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    4. Praveen Agrawal & Neeraj Kanwar & Nikhil Gupta & Khaleequr Rehman Niazi & Anil Swarnkar & Nand K. Meena & Jin Yang, 2020. "Reliability and Network Performance Enhancement by Reconfiguring Underground Distribution Systems," Energies, MDPI, vol. 13(18), pages 1-16, September.
    5. Barra, P.H.A. & Coury, D.V. & Fernandes, R.A.S., 2020. "A survey on adaptive protection of microgrids and distribution systems with distributed generators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    6. Rade Čađenović & Damir Jakus & Petar Sarajčev & Josip Vasilj, 2018. "Optimal Distribution Network Reconfiguration through Integration of Cycle-Break and Genetic Algorithms," Energies, MDPI, vol. 11(5), pages 1-19, May.
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    Cited by:

    1. Gang Mu & Yibo Zhou & Mao Yang & Jiahao Chen, 2023. "A Diagnosis Method of Power Flow Convergence Failure for Bulk Power Systems Based on Intermediate Iteration Data," Energies, MDPI, vol. 16(8), pages 1-16, April.
    2. Alex Guamán & Alex Valenzuela, 2021. "Distribution Network Reconfiguration Applied to Multiple Faulty Branches Based on Spanning Tree and Genetic Algorithms," Energies, MDPI, vol. 14(20), pages 1-16, October.

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