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The Concept of Dynamic Hosting Capacity for Distributed Energy Resources: Analytics and Practical Considerations

Author

Listed:
  • Tiago Elias Castelo de Oliveira

    (Electrical Energy Systems, Technological University of Eindhoven, 5612 AZ Eindhoven, The Netherlands)

  • Math Bollen

    (Energy Science, Luleå University of Technology, 971 87 Luleå, Sweden)

  • Paulo Fernando Ribeiro

    (Advanced Power Technologies and Innovations in Systems and Smart Grids Group, Federal University of Itajuba, Av. BPS, 1303, 37500-903 Itajuba, Brazil)

  • Pedro M. S. de Carvalho

    (Energy Scientific Area, Instituto Superior Tecnico, Av. Rovisco Pais 1049-001 Lisbon, Portugal)

  • Antônio C. Zambroni

    (Advanced Power Technologies and Innovations in Systems and Smart Grids Group, Federal University of Itajuba, Av. BPS, 1303, 37500-903 Itajuba, Brazil)

  • Benedito D. Bonatto

    (Advanced Power Technologies and Innovations in Systems and Smart Grids Group, Federal University of Itajuba, Av. BPS, 1303, 37500-903 Itajuba, Brazil)

Abstract

The hosting capacity approach is presented as a planning, improving, and communication tool for electrical distribution systems operating under specific uncertainties, such as power quality issues, power stabilities, and reliability, among others. In other words, it is an important technique, when renewable sources are present, to answer the amount of power that is possible to supply to the system without trespassing power performance limits. However, the power flow in a distribution system, for instance, can change throughout time due to the penetration of distributed generation, as well as load consumption. Based on the dynamic nature existing in distribution grids nowadays, it is important to highlight that the hosting capacity should not be calculated in a specifically chosen time only, but must be analyzed throughout a period of time. Thus, this paper introduces an extended concept of hosting capacity in relation to an integrated impact of harmonic voltage distortion and voltage rise as a function of time for daily, weekly, monthly, or even yearly periods. This extended concept is named as Dynamic Hosting Capacity (DHC(t)). General aspects of DHC(t) are demonstrated via measured data on a photovoltaic system (PV) connected at a low-voltage (LV) side of a university building.

Suggested Citation

  • Tiago Elias Castelo de Oliveira & Math Bollen & Paulo Fernando Ribeiro & Pedro M. S. de Carvalho & Antônio C. Zambroni & Benedito D. Bonatto, 2019. "The Concept of Dynamic Hosting Capacity for Distributed Energy Resources: Analytics and Practical Considerations," Energies, MDPI, vol. 12(13), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:13:p:2576-:d:245580
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    References listed on IDEAS

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    1. Tiago E. C. de Oliveira & Pedro M. S. Carvalho & Paulo F. Ribeiro & Benedito D. Bonatto, 2018. "PV Hosting Capacity Dependence on Harmonic Voltage Distortion in Low-Voltage Grids: Model Validation with Experimental Data," Energies, MDPI, vol. 11(2), pages 1-13, February.
    2. Ammar Arshad & Martin Lindner & Matti Lehtonen, 2017. "An Analysis of Photo-Voltaic Hosting Capacity in Finnish Low Voltage Distribution Networks," Energies, MDPI, vol. 10(11), pages 1-16, October.
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    Cited by:

    1. 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.
    2. Rade Čađenović & Damir Jakus, 2020. "Maximization of Distribution Network Hosting Capacity through Optimal Grid Reconfiguration and Distributed Generation Capacity Allocation/Control," Energies, MDPI, vol. 13(20), pages 1-17, October.
    3. Jain, Akshay Kumar & Horowitz, Kelsey & Ding, Fei & Sedzro, Kwami Senam & Palmintier, Bryan & Mather, Barry & Jain, Himanshu, 2020. "Dynamic hosting capacity analysis for distributed photovoltaic resources—Framework and case study," Applied Energy, Elsevier, vol. 280(C).
    4. Bartłomiej Mroczek & Paweł Pijarski, 2022. "Machine Learning in Operating of Low Voltage Future Grid," Energies, MDPI, vol. 15(15), pages 1-30, July.
    5. Costa, Vinicius Braga Ferreira da & Bonatto, Benedito Donizeti, 2023. "Cutting-edge public policy proposal to maximize the long-term benefits of distributed energy resources," Renewable Energy, Elsevier, vol. 203(C), pages 357-372.
    6. Magdalena Bartecka & Grazia Barchi & Józef Paska, 2020. "Time-Series PV Hosting Capacity Assessment with Storage Deployment," Energies, MDPI, vol. 13(10), pages 1-20, May.

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