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Smart Protection System for Microgrids with Grid-Connected and Islanded Capabilities Based on an Adaptive Algorithm

Author

Listed:
  • Felipe Carvalho Sampaio

    (Department of Electrical Engineering, Federal University of Ceará, Fortaleza 60455-760, Brazil)

  • Fernando Lessa Tofoli

    (Department of Electrical Engineering, Federal University of São João del-Rei, São João del Rei 36307-352, Brazil)

  • Lucas Silveira Melo

    (Department of Electrical Engineering, Federal University of Ceará, Fortaleza 60455-760, Brazil)

  • Giovanni Cordeiro Barroso

    (Department of Physics, Federal University of Ceará, Fortaleza 60455-760, Brazil)

  • Raimundo Furtado Sampaio

    (Department of Electrical Engineering, Federal University of Ceará, Fortaleza 60455-760, Brazil)

  • Ruth Pastôra Saraiva Leão

    (Department of Electrical Engineering, Federal University of Ceará, Fortaleza 60455-760, Brazil)

Abstract

This work proposes a smart protection system for microgrids, which relies on an adaptive metaheuristic for the automatic calculation of optimal settings for directional overcurrent relays (DOCRs). The adaptive fuzzy directional bat algorithm (AFDBA) associated with a fuzzy inference system (FIS) is used for this purpose. A prominent advantage of this solution is that there is no need for an initial tuning of the parameters associated with the algorithm, unlike many traditional approaches reported in the literature. Such a metaheuristic is used in the conception of an adaptive protection system (APS) in the context of a microgrid while taking into account the connection status of distributed generation (DG) units under distinct scenarios. A performance comparison with a protection system with fixed optimal settings (PSFOS) is also presented. The results demonstrate that the proposed APS outperforms the PSFOS while providing faster response, higher reliability and less susceptibility to miscoordination. In other words, it presents a shorter trip time when compared with the PSFOS, with a reduction of 6.83% and 26.58% when considering the DG penetration and the islanded microgrid, respectively.

Suggested Citation

  • Felipe Carvalho Sampaio & Fernando Lessa Tofoli & Lucas Silveira Melo & Giovanni Cordeiro Barroso & Raimundo Furtado Sampaio & Ruth Pastôra Saraiva Leão, 2023. "Smart Protection System for Microgrids with Grid-Connected and Islanded Capabilities Based on an Adaptive Algorithm," Energies, MDPI, vol. 16(5), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2273-:d:1081731
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    References listed on IDEAS

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    1. 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).
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    Cited by:

    1. Regin Bose Kannaian & Belwin Brearley Joseph & Raja Prabu Ramachandran, 2023. "An Adaptive Centralized Protection and Relay Coordination Algorithm for Microgrid," Energies, MDPI, vol. 16(12), pages 1-18, June.
    2. Ali Vafadar & Maryam A. Hejazi & Hamed Hashemi-Dezaki & Negin Mohagheghi, 2023. "Optimal Protection Coordination of Active Distribution Networks Using Smart Selection of Short Circuit Voltage-Based Relay Characteristics," Energies, MDPI, vol. 16(14), pages 1-18, July.
    3. Marco Bindi & Maria Cristina Piccirilli & Antonio Luchetta & Francesco Grasso, 2023. "A Comprehensive Review of Fault Diagnosis and Prognosis Techniques in High Voltage and Medium Voltage Electrical Power Lines," Energies, MDPI, vol. 16(21), pages 1-37, October.

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