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Evaluation of Distributed Generation and Electric Vehicles Hosting Capacity in Islanded DC Grids Considering EV Uncertainty

Author

Listed:
  • Carlos D. Zuluaga-Ríos

    (Department of Electrical Engineering, Engineering Faculty, Institución Universitaria Pascual Bravo, Medellín 050036, Colombia
    These authors contributed equally to this work.)

  • Alejandro Villa-Jaramillo

    (Department of Electrical Engineering, Engineering Faculty, Institución Universitaria Pascual Bravo, Medellín 050036, Colombia
    These authors contributed equally to this work.)

  • Sergio D. Saldarriaga-Zuluaga

    (Department of Electrical Engineering, Engineering Faculty, Institución Universitaria Pascual Bravo, Medellín 050036, Colombia
    These authors contributed equally to this work.)

Abstract

Current power systems are undergoing an energy transition, where technological elements such as distributed generation and electric vehicles through AC or DC microgrids are important elements to face this transition. This paper presents a methodology for quantifying distributed resource-based generation and the number of electric vehicles that can be connected to isolated DC grids without impacting the safe operation of these networks. The methodology evaluates the maximum capacity of distributed generation considering the uncertainty present in the electric vehicle charging of fleets composed of five types of electric vehicles. Specifically, the uncertainty is associated with the following variables: the home arrival time, home departure time, traveled distance, and battery efficiency. The methodology was applied to a 21-bus DC microgrid and a 33-bus DC network under different test conditions. The results show that higher penetrations of EVs and distributed resource-based generation can be introduced while guaranteeing a secure operation of the DC networks.

Suggested Citation

  • Carlos D. Zuluaga-Ríos & Alejandro Villa-Jaramillo & Sergio D. Saldarriaga-Zuluaga, 2022. "Evaluation of Distributed Generation and Electric Vehicles Hosting Capacity in Islanded DC Grids Considering EV Uncertainty," Energies, MDPI, vol. 15(20), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7646-:d:944193
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    References listed on IDEAS

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    Cited by:

    1. Vitor Fernão Pires & Armando Pires & Armando Cordeiro, 2023. "DC Microgrids: Benefits, Architectures, Perspectives and Challenges," Energies, MDPI, vol. 16(3), pages 1-20, January.
    2. Vincent Umoh & Innocent Davidson & Abayomi Adebiyi & Unwana Ekpe, 2023. "Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review," Energies, MDPI, vol. 16(8), pages 1-25, April.
    3. Zeeshan Anjum Memon & Dalila Mat Said & Mohammad Yusri Hassan & Hafiz Mudassir Munir & Faisal Alsaif & Sager Alsulamy, 2023. "Effective Deterministic Methodology for Enhanced Distribution Network Performance and Plug-in Electric Vehicles," Sustainability, MDPI, vol. 15(9), pages 1-37, April.
    4. Polisetty, S.P.R. Swamy & Jayanthi, R. & Sai Veerraju, M., 2023. "An intelligent optimal charging stations placement on the grid system for the electric vehicle application," Energy, Elsevier, vol. 285(C).
    5. Alexander Micallef & Josep M. Guerrero & Juan C. Vasquez, 2023. "New Horizons for Microgrids: From Rural Electrification to Space Applications," Energies, MDPI, vol. 16(4), pages 1-25, February.

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