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Distributed Energy-Resource Design Method to Improve Energy Security in Critical Facilities

Author

Listed:
  • Petros Siritoglou

    (Hellenic Navy, Athens, 18648 Attica, Greece)

  • Giovanna Oriti

    (Department of Electrical Engineering, Naval Postgraduate School, Monterey, CA 93943, USA)

  • Douglas L. Van Bossuyt

    (Department of Systems Engineering, Naval Postgraduate School, Monterey, CA 93943, USA)

Abstract

This paper presents a user-friendly design method for accurately sizing the distributed energy resources of a stand-alone microgrid to meet the critical load demands of a military, commercial, industrial, or residential facility when utility power is not available. The microgrid combines renewable resources such as photovoltaics (PV) with an energy-storage system to increase energy security for facilities with critical loads. The design method’s novelty complies with IEEE Standards 1562 and 1013, and addresses resilience, which is not taken into account in existing design methods. Several case studies simulated with a physics-based model validate the proposed design method and demonstrate how resilience can be included in the design process. Additionally, the design and the simulations were validated by 24 h laboratory experiments conducted on a microgrid assembled using commercial off-the-shelf components.

Suggested Citation

  • Petros Siritoglou & Giovanna Oriti & Douglas L. Van Bossuyt, 2021. "Distributed Energy-Resource Design Method to Improve Energy Security in Critical Facilities," Energies, MDPI, vol. 14(10), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2773-:d:552947
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    References listed on IDEAS

    as
    1. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    2. Mishra, Sakshi & Anderson, Kate & Miller, Brian & Boyer, Kyle & Warren, Adam, 2020. "Microgrid resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies," Applied Energy, Elsevier, vol. 264(C).
    3. Ming-Hui Chang & Han-Pang Huang & Shu-Wei Chang, 2013. "A New State of Charge Estimation Method for LiFePO 4 Battery Packs Used in Robots," Energies, MDPI, vol. 6(4), pages 1-24, April.
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    Cited by:

    1. Joo Won Lee & Emily Craparo & Giovanna Oriti & Arthur Krener, 2022. "Optimizing Fuel Efficiency on an Islanded Microgrid under Varying Loads," Energies, MDPI, vol. 15(21), pages 1-21, October.
    2. Daniel Reich & Giovanna Oriti, 2021. "Rightsizing the Design of a Hybrid Microgrid," Energies, MDPI, vol. 14(14), pages 1-22, July.
    3. Gianpiero Colangelo & Gianluigi Spirto & Marco Milanese & Arturo de Risi, 2021. "Progresses in Analytical Design of Distribution Grids and Energy Storage," Energies, MDPI, vol. 14(14), pages 1-43, July.

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