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Planning and Analysis of Microgrids for Fast Charging Stations Considering Net Zero Energy Building Indexes

Author

Listed:
  • Matheus Souza da Cruz

    (Graduate Program in Electrical Engineering, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil)

  • Caroline Beatriz Fucks Darui

    (Graduate Program in Electrical Engineering, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil
    Electrical Engineering Course, Integrated Regional University, Santo Ângelo 98802-470, RS, Brazil)

  • Alzenira da Rosa Abaide

    (Graduate Program in Electrical Engineering, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil)

  • Nelson Knak Neto

    (Academic Coordination, Federal University of Santa Maria, Cachoeira do Sul 96503-205, RS, Brazil)

  • Leonardo Nogueira Fontoura da Silva

    (Graduate Program in Electrical Engineering, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil)

  • Laura Lisiane Callai dos Santos

    (Academic Coordination, Federal University of Santa Maria, Cachoeira do Sul 96503-205, RS, Brazil)

Abstract

Distributed Energy Resources (DERs) aggregation increases the sustainability of the Electric Vehicles (EVs) market. For example, Fast Charging Stations (FCSs) associated with distributed generation and storage systems in a microgrid infrastructure may be beneficial in increasing self-consumption and peak-shaving strategies and mitigating impacts on the grid. However, microgrid sizing planning is a complex challenge, mainly due to numerous factors related to EV market growth and user behavior. This work defines a methodology focusing on sizing planning and analysis of microgrids for FCSs based on quantitative indices formulated according to the Net Zero Energy Building (NZEB) concept, optimizing self-sufficiency and limiting impacts on the primary electrical grid. The methodology is applied to a real case study considering the growth of EVs in southern Brazil. The developed analyses demonstrate that the proposed microgrid meets the energy needs of the FCS and presents the best NZEB indexes within the considered study horizon. Additionally, representative profiles were characterized for different load and generation conditions, complementing the analyses. It was shown that the storage promotes a delay and reduction in the reverse peak power flow, further enhancing the NZEB indexes.

Suggested Citation

  • Matheus Souza da Cruz & Caroline Beatriz Fucks Darui & Alzenira da Rosa Abaide & Nelson Knak Neto & Leonardo Nogueira Fontoura da Silva & Laura Lisiane Callai dos Santos, 2024. "Planning and Analysis of Microgrids for Fast Charging Stations Considering Net Zero Energy Building Indexes," Energies, MDPI, vol. 17(24), pages 1-25, December.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:24:p:6488-:d:1550813
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    References listed on IDEAS

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    1. Kong, Weiwei & Luo, Yugong & Feng, Guixuan & Li, Keqiang & Peng, Huei, 2019. "Optimal location planning method of fast charging station for electric vehicles considering operators, drivers, vehicles, traffic flow and power grid," Energy, Elsevier, vol. 186(C).
    2. shafiei, Mohammad & Ghasemi-Marzbali, Ali, 2023. "Electric vehicle fast charging station design by considering probabilistic model of renewable energy source and demand response," Energy, Elsevier, vol. 267(C).
    3. Mowry, Andrew M. & Mallapragada, Dharik S., 2021. "Grid impacts of highway electric vehicle charging and role for mitigation via energy storage," Energy Policy, Elsevier, vol. 157(C).
    4. George Stamatellos & Antiopi-Malvina Stamatellou, 2024. "The Interaction between Short- and Long-Term Energy Storage in an nZEB Office Building," Energies, MDPI, vol. 17(6), pages 1-27, March.
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