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Hosting Capacity Calculation Deploying a Hybrid Methodology: A Case Study Concerning the Intermittent Nature of Photovoltaic Distributed Generation and the Variable Nature of Energy Consumption in a Medium Voltage Distribution Network

Author

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  • Ezequiel Junio Lima

    (Department of Electrical and Electronic, Federal Center for Technological Education of Minas Gerais, Curvelo 35790-636, MG, Brazil
    Current address: 900, Raymundo Mattoso St., Curvelo 35790-636, MG, Brazil.
    These authors contributed equally to this work.)

  • Luiz Carlos Gomes Freitas

    (Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlandia 38408-100, MG, Brazil
    These authors contributed equally to this work.)

Abstract

The main methods employed for Hosting Capacity (HC) calculations are basically classified into deterministic, stochastic and time series. In this scenario, the authors herein propose a hybrid methodology, which shows efficiency and ease of implementation. Besides the method presented, it is also calculated a hosting capacity of a real feeder which was modeled and analyzed taking into consideration variations in load and power injected by distributed generation sources. The proposed hybrid method deploys just one time series with the feeder power demand data, which are easily obtained from the feeder’s origin substation. Low voltage loads were modeled by the ratio between their maximum demands and the feeder maximum demand, making easier to start up the grid model implementation. Hence, the advantages of the proposed methodology can be summarized in: (a) easy to obtain the input parameters; (b) agility in implementing the study; (c) higher processing speed and (d) results consistent with the time series method. Finally, in view of the advantages and obtained results, the proposed hybrid methodology shows itself as a promising and attractive tool for the studies of hosting capacity by the utilities.

Suggested Citation

  • Ezequiel Junio Lima & Luiz Carlos Gomes Freitas, 2022. "Hosting Capacity Calculation Deploying a Hybrid Methodology: A Case Study Concerning the Intermittent Nature of Photovoltaic Distributed Generation and the Variable Nature of Energy Consumption in a M," Energies, MDPI, vol. 15(3), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1223-:d:744162
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    References listed on IDEAS

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    1. Dichen Liu & Chenxu Wang & Fei Tang & Yixi Zhou, 2020. "Probabilistic Assessment of Hybrid Wind-PV Hosting Capacity in Distribution Systems," Sustainability, MDPI, vol. 12(6), pages 1-19, March.
    2. Ismael, Sherif M. & Abdel Aleem, Shady H.E. & Abdelaziz, Almoataz Y. & Zobaa, Ahmed F., 2019. "State-of-the-art of hosting capacity in modern power systems with distributed generation," Renewable Energy, Elsevier, vol. 130(C), pages 1002-1020.
    3. Kharrazi, A. & Sreeram, V. & Mishra, Y., 2020. "Assessment techniques of the impact of grid-tied rooftop photovoltaic generation on the power quality of low voltage distribution network - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    4. Mohammad Zain ul Abideen & Omar Ellabban & Luluwah Al-Fagih, 2020. "A Review of the Tools and Methods for Distribution Networks’ Hosting Capacity Calculation," Energies, MDPI, vol. 13(11), pages 1-25, June.
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    Cited by:

    1. Md Tariqul Islam & M. J. Hossain, 2023. "Artificial Intelligence for Hosting Capacity Analysis: A Systematic Literature Review," Energies, MDPI, vol. 16(4), pages 1-33, February.

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