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An Adaptive Centralized Protection and Relay Coordination Algorithm for Microgrid

Author

Listed:
  • Regin Bose Kannaian

    (Computer Science Engineering Faculty, Chennai Institute of Technology, Chennai 600048, India)

  • Belwin Brearley Joseph

    (Electrical and Electronics Engineering Faculty, School of Electrical and Communication Sciences, B.S Abdur Rahman Crescent Institute of Science and Technology, Chennai 600048, India)

  • Raja Prabu Ramachandran

    (Electrical and Electronics Engineering Faculty, Gandhi Institute of Technology and Management, Visakhapatnam 530045, India)

Abstract

To meet the increased customer demands, microgrid evolved. The structure of microgrid changes dynamically due to the intermittent nature of renewable-based generation, status of the distributed generator and opening of breakers for fault/maintenance. Hence, the magnitude of fault current is dynamic in nature. In order to deal with these dynamic changes, this paper addresses an adaptive central microgrid controller-based protection and relay coordination scheme, which revises the relay settings dynamically (both radial and looped configuration) for every change in topology. In the proposed algorithm, the primary relay responds to a fault immediately since the individual relays are given with fault level setting. For any abnormality in the network, the fault location is determined both via local relay and microgrid central controller (MCC). Hence, even though the local relay fails to identify the fault due to high fault impedance, the MCC locates the fault accurately and isolates the minimum faulty part. The coordination between relays is carried out by MCC in a time-graded manner based on microgrid central protection and relay coordination algorithm. The proposed algorithm is tested using Matlab in a microgrid built based on the IEEE 33 bus distribution network.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4820-:d:1175096
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    References listed on IDEAS

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    1. Yuyan Sun & Zexiang Cai & Ziyi Zhang & Caishan Guo & Guolong Ma & Yongxia Han, 2020. "Coordinated Energy Scheduling of a Distributed Multi-Microgrid System Based on Multi-Agent Decisions," Energies, MDPI, vol. 13(16), pages 1-20, August.
    2. Brearley, Belwin J. & Prabu, R. Raja, 2017. "A review on issues and approaches for microgrid protection," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 988-997.
    3. 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.
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    Cited by:

    1. Adeyemi Charles Adewole & Athula D. Rajapakse & Dean Ouellette & Paul Forsyth, 2023. "Centralized Protection of Networked Microgrids with Multi-Technology DERs," Energies, MDPI, vol. 16(20), pages 1-24, October.

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