Modelling the technical influence of randomly distributed solar PV uptake on electrical distribution networks
Abstract
This paper investigates network integration of distributed rooftop PV systems on three distribution networks (one residential, one commercial and one industrial) in Cape Town, South Africa. A methodology is developed that can be used to model the technical influence (focusing solely on voltage rise and equipment overload) of randomly distributed solar PV uptake on electrical distribution networks. For the residential- and industrial area, the amount of PV-eligible roof space provides potential PV generation capacity that far exceeds the load requirements of the area. It is shown that allowable PV installations on the residential LV networks vary between 187 kW - 373 kW, and allowable PV penetration levels vary between 82% - 150%. The industrial network has the lowest allowable PV penetration level (31%), whilst the commercial area experiences no limit to the uptake of PV, since there is not enough PV-eligible roof space, and subsequent potential PV generation capacity, to cause network problems. This paper concludes guidelines as to the PV hosting capacity of the sample networks. The results of this paper provide a better understanding to utilities in terms of the technical limits that dictate PV uptake for different types of networks, as well as the corresponding PV penetration levels.
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The time series method typically uses 24-h generated time series data profiles based on average demand and generation values, least consumption and highest generation values, or grid-dependent scenarios of PV generation and load consumption.
“The time series profiles depend on the availability of requisite data, hence it typically uses 24-h generated time series data profiles based on average demand and generation values [31], least consumption and highest generation values [31], or some grid-dependent scenarios of PV generation and load consumption [29,75].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [31]
Cites
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A Review of the Tools and Methods for Distribution Networks’ Hosting Capacity Calculation
Zain ul Abideen, M., Ellabban, O., & Al-Fagih, L. (2020) · Energies · doi:10.3390/en13112758 · Cited by 161 · see citing works
Review on the PV Hosting Capacity in Distribution Networks
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An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks
Abideen, M. Z. U., Ellabban, O., Ahmad, F., & Al‐Fagih, L. (2022) · IEEE Access · doi:10.1109/access.2022.3221944 · Cited by 41 · see citing works
Ma, Z. G., Billanes, J. D., & Jôrgensen, B. N. (2026) · Energies · doi:10.3390/en19030755
- Authors
- Steyn, A. F. W., & Rix, A. J.
- Affiliations
- Stellenbosch University (ZA)
- ORCID
- Rix, Arnold J.
- Venue
- 2019 International Conference on Clean Electrical Power (ICCEP)
- Publisher
- IEEE
- Published
- 2019-07
- Pages
- 690-698
- OpenAlex
- W2945125864
- Cited by
- 7
- References
- 7
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 2 · 2022: 1 · 2020: 2
- FWCI
- 1.19
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Conference on Clean Electrical Power (publishedVersion)
- SUNScholar (Stellenbosch University) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Photovoltaic System Optimization Techniques
- Keywords
- rooftop solar, distributed generation, electrical distribution networks, photovoltaic hosting capacity, photovoltaic penetration, voltage rise, residential networks, trade networks, industrial networks, network integration, Cape Town
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