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Photovoltaic Generation Impact Analysis in Low Voltage Distribution Grids

Author

Listed:
  • Gregorio Fernández

    (Fundacion CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain)

  • Noemi Galan

    (Fundacion CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain)

  • Daniel Marquina

    (Fundacion CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain)

  • Diego Martínez

    (Fundacion CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain)

  • Alberto Sanchez

    (Grupo Cuerva, C/Santa Lucia, 1 K. Churriana de la Vega, 18194 Granada, Spain)

  • Pablo López

    (Grupo Cuerva, C/Santa Lucia, 1 K. Churriana de la Vega, 18194 Granada, Spain)

  • Hans Bludszuweit

    (Fundacion CIRCE, Parque Empresarial Dinamiza, Avenida Ranillas 3-D, 1st Floor, 50018 Zaragoza, Spain)

  • Jorge Rueda

    (Grupo Cuerva, C/Santa Lucia, 1 K. Churriana de la Vega, 18194 Granada, Spain)

Abstract

Due to a greater social and environmental awareness of citizens, advantageous regulations and a favourable economic return on investment, the presence of photovoltaic (PV) installations in distribution grids is increasing. In the future, not only a significant increase in photovoltaic generation is expected, but also in other of the so-called distributed energy resources (DER), such as wind generation, storage, electric vehicle charging points or manageable demands. Despite the benefits posed by these technologies, an uncontrolled spread could create important challenges for the power system, such as increase of energy losses or voltages out-of-limits along the grid, for example. These issues are expected to be more pronounced in low voltage (LV) distribution networks. This article has two main objectives: proposing a method to calculate the LV distributed photovoltaic generation hosting capacity (HC) that minimizes system losses and evaluating different management techniques for solar PV inverters and their effect on the hosting capacity. The HC calculation is based on a mixture of deterministic methods using time series data and statistical ones: using real smart meters data from customers and generating different combinations of solar PV facilities placements and power to evaluate its effect on the grid operation.

Suggested Citation

  • Gregorio Fernández & Noemi Galan & Daniel Marquina & Diego Martínez & Alberto Sanchez & Pablo López & Hans Bludszuweit & Jorge Rueda, 2020. "Photovoltaic Generation Impact Analysis in Low Voltage Distribution Grids," Energies, MDPI, vol. 13(17), pages 1-27, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4347-:d:402712
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    References listed on IDEAS

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    3. Krzysztof Chmielowiec & Łukasz Topolski & Aleks Piszczek & Zbigniew Hanzelka, 2021. "Photovoltaic Inverter Profiles in Relation to the European Network Code NC RfG and the Requirements of Polish Distribution System Operators," Energies, MDPI, vol. 14(5), pages 1-24, March.
    4. Alnaser, Sahban W. & Althaher, Sereen Z. & Long, Chao & Zhou, Yue & Wu, Jianzhong & Hamdan, Reem, 2021. "Transition towards solar Photovoltaic Self-Consumption policies with Batteries: From the perspective of distribution networks," Applied Energy, Elsevier, vol. 304(C).
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    7. Anju Yadav & Nand Kishor & Richa Negi, 2023. "Bus Voltage Violations under Different Solar Radiation Profiles and Load Changes with Optimally Placed and Sized PV Systems," Energies, MDPI, vol. 16(2), pages 1-23, January.
    8. Oscar Danilo Montoya & Carlos Andrés Ramos-Paja & Luis Fernando Grisales-Noreña, 2022. "An Efficient Methodology for Locating and Sizing PV Generators in Radial Distribution Networks Using a Mixed-Integer Conic Relaxation," Mathematics, MDPI, vol. 10(15), pages 1-17, July.
    9. Łukasz Mazur & Zbigniew Kłosowski, 2023. "A New Approach to the Use of Energy from Renewable Sources in Low-Voltage Power Distribution Networks," Energies, MDPI, vol. 16(2), pages 1-29, January.
    10. Zakeri, Behnam & Gissey, Giorgio Castagneto & Dodds, Paul E. & Subkhankulova, Dina, 2021. "Centralized vs. distributed energy storage – Benefits for residential users," Energy, Elsevier, vol. 236(C).
    11. Bartłomiej Mroczek & Paweł Pijarski, 2022. "Machine Learning in Operating of Low Voltage Future Grid," Energies, MDPI, vol. 15(15), pages 1-30, July.

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