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Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review

Author

Listed:
  • Vincent Umoh

    (Department of Electrical Power Engineering, Durban University of Technology, Durban 4001, South Africa)

  • Innocent Davidson

    (Department of Electrical, Electronic and Computer Engineering, Cape Peninsula University of Technology, Bellville 7535, South Africa)

  • Abayomi Adebiyi

    (Department of Electrical Power Engineering, Durban University of Technology, Durban 4001, South Africa)

  • Unwana Ekpe

    (Department of Electrical and Electronic Engineering, Akwa Ibom State University, Mkpat Enin 524106, Nigeria)

Abstract

The increasing demand for electricity and the need for environmentally friendly transportation systems has resulted in the proliferation of solar photovoltaic (PV) generators and electric vehicle (EV) charging within the low voltage (LV) distribution network. This high penetration of PV and EV charging can cause power quality challenges, hence the need for hosting capacity (HC) studies to estimate the maximum allowable connections. Although studies and reviews are abundant on the HC of PV and EV charging available in the literature, there is a lack of reviews on HC studies that cover both PV and EVs together. This paper fills this research gap by providing a detailed review of five commonly used methods for quantifying HC including deterministic, time series, stochastic, optimization, and streamlined methods. This paper comprehensively reviews the HC concept, methods, and tools, covering both PV and EV charging based on a survey of state-of-the-art literature published within the last five years (2017–2022). Voltage magnitude, thermal limit, and loading of lines, cables, and transformers are the main performance indices considered in most HC studies.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3609-:d:1129824
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    References listed on IDEAS

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    2. Jake Anderson & Ashish P. Agalgaonkar, 2023. "Low-Voltage Network Modeling and Analysis with Rooftop PV Forecasts: A Realistic Perspective from Queensland, Australia," Energies, MDPI, vol. 16(15), pages 1-23, August.

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