The DOI matches its Crossref record.
Fast Hosting Capacity Analysis for Thermal Loading Constraint Using Sensitivity-based Decomposition Method
Abstract
High solar photovoltaic (PV) penetration can cause reverse power flows that exceed the thermal loading limits of distribution transformers, lines, and other equipment. PV hosting capacity refers to the amount of solar PV that a feeder location can accommodate without adverse power quality, reliability, or safety impacts. Previous work has established that the nodal voltage magnitude has a quasi-linear relationship with the feeder load and PV power injections. However, the analysis of circuit thermal limits in hosting capacity is more difficult due to the nonlinear nature of the line current magnitude. This paper uses a decomposition method that combines real and reactive power flow manifolds to accurately estimate the branch current magnitude and consequently, the thermal hosting capacity. The method requires solving only a small number of nonlinear AC power flows and has the potential to significantly speed up PV hosting capacity analysis. The accuracy of the proposed method is evaluated on the IEEE 123 bus test circuit.
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High-resolution time series simulation better accounts for the stochastic nature of solar PV generation and load demand and captures PV variations at smaller time frames.
“High-resolution time series simulation was introduced in [79,80] to better account for the stochastic nature of solar PV generation and the load demand and to capture PV variations at smaller time frames.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [80]
High-resolution time series simulation techniques are computationally complex and expensive.
“However, these simulation techniques are computationally complex, expensive,”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [80]
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No references could be resolved yet.
Research works printed but not linked: 8
- 10.1109/PVSC.2017.8366414 · DOI
- qureshi, 2018, A Fast Scalable Quasi-Static Time Series Analysis Method for PV Impact Studies using Linear Sensitivity Model, IEEE Transactions on Sustainable Energy
- qureshi, 0, Fast Hosting Capacity Analysis Considering Over-Voltage Criteria and Impact of Regulating Devices, (To appear) IEEE PES Transmission and Distribution Conference and Exposition
- 10.1109/PVSC.2018.8547439 · DOI · Paper page
- 0, IEEE PES Distribution Test Feeders
- 10.1109/PESGM40551.2019.8973900 · DOI · Paper page
- 10.1109/PVSC.2018.8547693 · DOI · Paper page
- smith, 2016, Defining a roadmap for successful implementation of a hosting capacity method for New York State
Cited by
Sorted by citations
Umoh, V., Davidson, I., Adebiyi, A., & Ekpe, U. (2023) · Energies · doi:10.3390/en16083609 · Cited by 71
Metadata
- Authors
- Qureshi, M. U., Kumar, A., Grijalva, S., Deboever, J., Peppanen, J., & Rylander, M.
- Affiliations
- Georgia Institute of Technology (US)
- Electric Power Research Institute (US)
- Venue
- 2020 52nd North American Power Symposium (NAPS)
- Publisher
- IEEE
- Published
- 2021-04-11
- Pages
- 1-5
- OpenAlex
- W3176231647
- Cited by
- 8
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 5 · 2022: 1
- FWCI
- 2.75
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- North American Power Symposium (NAPS) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Thermal Analysis in Power Transmission
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- photovoltaic hosting capacity, distribution feeders, reverse power flow, photovoltaic penetration
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