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Resiliency-Sensitive Decision Making Mechanism for a Residential Community Enhanced with Bi-Directional Operation of Fuel Cell Electric Vehicles

Author

Listed:
  • Fatma Gülşen Erdinç

    (Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim University, Istanbul 34310, Turkey)

  • Alper Çiçek

    (Department of Electrical and Electronics Engineering, Faculty of Engineering, Trakya University, Edirne 22030, Turkey)

  • Ozan Erdinç

    (Department of Electrical Engineering, Faculty of Electrical and Electronics, Yildiz Technical University, Istanbul 34220, Turkey)

Abstract

The trend regarding providing more distributed solutions compared to a fully centralized operation has increased the research activities conducted on the improvement of active regional communities in the power system operation in the last decades. In this study, an energy management-oriented decision-making mechanism for residential end-users based local community is proposed in a mixed-integer linear programming context. The proposed concept normally includes inflexible resiliency-sensitive load–demand activated as flexible during abnormal operating conditions, fuel cell electric vehicles (FCEVs) fed via the hydrogen provided by an electrolyzer unit connected to the residential community and capable of acting in vehicle-to-grid (V2G) mode, common energy storage and photovoltaic (PV) based distributed generation units and dispersed PV based generating options at the end-user premises. The combination of the hydrogen–electricity chain with the V2G capability of FCEVs and the resiliency-sensitive loads together with common ESS and generation units provides the novelty the study brings to the existing literature. The concept was tested under different case studies also with different objective functions.

Suggested Citation

  • Fatma Gülşen Erdinç & Alper Çiçek & Ozan Erdinç, 2022. "Resiliency-Sensitive Decision Making Mechanism for a Residential Community Enhanced with Bi-Directional Operation of Fuel Cell Electric Vehicles," Energies, MDPI, vol. 15(22), pages 1-17, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8729-:d:978528
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    References listed on IDEAS

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    1. Jeddi, Babak & Mishra, Yateendra & Ledwich, Gerard, 2021. "Distributed load scheduling in residential neighborhoods for coordinated operation of multiple home energy management systems," Applied Energy, Elsevier, vol. 300(C).
    2. Yu, Hang & Niu, Songyan & Shang, Yitong & Shao, Ziyun & Jia, Youwei & Jian, Linni, 2022. "Electric vehicles integration and vehicle-to-grid operation in active distribution grids: A comprehensive review on power architectures, grid connection standards and typical applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    3. Akter, M.N. & Mahmud, M.A. & Haque, M.E. & Oo, Amanullah M.T., 2020. "An optimal distributed energy management scheme for solving transactive energy sharing problems in residential microgrids," Applied Energy, Elsevier, vol. 270(C).
    4. Hu, Maomao & Xiao, Fu & Wang, Shengwei, 2021. "Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
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