Solar PV hosting capacity methods and industrial application gaps
Abstract
With falling prices both the size and number of installations of single-phase and three-phase solar photovoltaics (PV) units is expected to continue to increase in distribution networks. The increase in solar PV units will have an impact on the power quality of the distribution network. There is a need to propose transparent methods that can be used to quantify the acceptable limit of solar PV penetration objectively, called the hosting capacity (HC). The fundamental methods for the quantification of hosting capacity include; deterministic, stochastic and time-series. Which of the latter method is the most appropriate for determining the hosting capacity? A comparison of the three methods based on the input data need, accuracy, uncertainties considered, time-related and models are done. Many academic and industrial studies have been published applying the hosting capacity method. Differences between the scientific and industrial application of the hosting capacity methods are presented in this paper. There is a need to expose the industrial application of solar PV hosting capacity methods.
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The time series method can answer the when and how questions associated with HC calculations.
“Furthermore, the time series method can answer the when and how questions associated with HC calculations [91].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [91]
The increase in scenarios translates to a need for more measurement data, leading to a tedious computational process.
“This will translate to a need for more measurement data leading to a tedious computational process [11,91].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [91]
Aleatory uncertainties are unknown variables that occur due to variability associated with PV generation and consumers' load consumption, while epistemic uncertainties are unknown variables related to lack of information such as the size or location of the PV on the distribution grid.
“Aleatory uncertainties are unknown variables that occur due to variability associated with PV generation and consumers' load consumption while epistemic uncertainties are unknown variables related to lack of information, such as the size of the PV or location of the PV on the distribution grid [11,91].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [91]
Cited by
Sorted by citations
Umoh, V., Davidson, I., Adebiyi, A., & Ekpe, U. (2023) · Energies · doi:10.3390/en16083609 · Cited by 71 · see citing works
- Authors
- Mulenga, E., Bollen, M. H., & Etherden, N.
- Affiliations
- Luleå University of Technology (SE)
- Venue
- IET Conference Proceedings
- Published
- 2021-11-02
- Volume
- 2021
- Issue
- 6
- Pages
- 1757-1761
- ISSN
- 2732-4494 (ISSN-L)
- OpenAlex
- W4206741159
- Cited by
- 1
- References
- 0
- Citations by year
- 2023: 1
- FWCI
- 0.39
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IET conference proceedings. (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power Quality and Harmonics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- hosting capacity, photovoltaics, distribution networks, power quality, method comparison
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