Streamlined method for determining distribution system hosting capacity
Abstract
This paper outlines the methodology of a streamlined analysis to determine the amount of photovoltaics that can be accommodated on a distribution feeder before adverse impacts occur (commonly termed hosting capacity). The solution can effectively be used in screening new interconnection requests, as well as estimating how much and where PV can be located such that grid upgrades are minimized. The method is being implemented in commercial distribution system analysis tools, where it can be applied systemwide or on individual feeders. The streamlined analysis of an individual feeder would take on the order of minutes compared to hours for a detailed analysis. Application of the results include improved screening tools, visualization of hosting capacity constrained feeders, and identification of problematic locations within a feeder. Speed and accuracy are mandatory; thus, the methodology has been compared and validated to detailed analyses.
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The streamlined HC may compromise accuracy for complex feeders with branch diversity.
“However, the streamlined HC may compromise accuracy for complex feeders with branch diversity [10,14,131].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [131]
There are two types of streamlined methods in the literature: the first developed by EPRI, and the second is the streamlined ICA method.
“There are two types of streamlined methods in the literature, the first was developed by Electric Power Research Institute (EPRI) [10,130,131], while the other is the streamlined ICA (Integrated Capacity Analysis) method [11].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [131]
EPRI's streamlined method leverages information taken from detailed PV HC studies of several unique distribution feeders.
“EPRI's streamlined method leverages the information taken from detailed PV HC studies of several unique distribution feeders.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [131]
The trends from the initial set of power flow case studies are used to characterize the feeder response and derive a conservative, optimistic, and realistic range of HC values.
“The trends from the initial set of power flow case studies are used to characterize the feeder response and derive a conservative, optimistic, and realistic range of HC values.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [131]
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
Yao, H., Qin, W., Jing, X., Zhu, Z., Wang, K., Han, X., & Wang, P. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.119681 · Cited by 33 · see citing works
- Authors
- Rylander, M., Smith, J., & Sunderman, W.
- Affiliations
- Electric Power Research Institute (US)
- ORCID
- Smith, Jeff
- Venue
- IEEE Transactions on Industry Applications
- Published
- 2016-01
- Volume
- 52
- Issue
- 1
- Pages
- 105-111
- ISSN
- 0093-9994 (ISSN-L)
- 1939-9367
- OpenAlex
- W4234181364
- Cited by
- 94
- References
- 0
- Citations by year
- 2026: 9 · 2025: 5 · 2024: 11 · 2023: 14 · 2022: 10 · 2021: 11 · 2020: 7 · 2019: 9 · 2018: 9 · 2017: 7 · 2016: 2
- FWCI
- 2.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Industry Applications (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Thermal Analysis in Power Transmission
- Keywords
- hosting capacity, photovoltaics, distribution feeders, distributed generation, grid hosting capacity, grid upgrades
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