An improved stochastic approach for PV’s hosting capacity assessment based on binary search
Abstract
In this paper, an improved stochastic approach for PV hosting capacity assessment based on binary search is proposed. Firstly, the framework of traditional stochastic approach for PV hosting capacity assessment is introduced. Then, the key principles of binary search-based stochastic simulation is proposed and calculation procedure is presented. Finally, the verification is performed on a field practice test bed in China.
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The binary search-based method is more accurate and reduces the computation time when compared to the traditional stochastic approach.
“The method is more accurate and reduces the computation time when compared to the traditional stochastic approach.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [101]
In [101], a binary search-based stochastic simulation is used to determine the PV HC considering the influence of the number and location of PVs.
“In [101], a binary search-based stochastic simulation is used to determine the PV HC considering the influence of the number and location of PVs.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [101]
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
- Chen, C., Li, W., Yu, B., & Wu, L.
- Affiliations
- State Grid Corporation of China (China) (CN)
- Venue
- IET Conference Proceedings
- Published
- 2021-10-19
- Volume
- 2021
- Issue
- 5
- Pages
- 539-545
- ISSN
- 2732-4494 (ISSN-L)
- OpenAlex
- W4205340947
- Cited by
- 3
- References
- 0
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 1
- FWCI
- 1.18
- 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 › Electric Power System Optimization
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Power System Reliability and Maintenance
- Keywords
- photovoltaic hosting capacity, binary search, stochastic simulation, distribution networks, photovoltaic integration
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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