On Estimation and Sensitivity Analysis of Distribution Circuit’s Photovoltaic Hosting Capacity
Abstract
A high penetration of residential photovoltaic (PV) panels can potentially cause a number of operational issues in the distribution circuit, necessitating the requirement to determine the largest PV generation, a distribution circuit can accommodate. This paper presents a Monte Carlo-based hourly stochastic analysis framework to determine a circuit's PV accommodation limit or PV hosting capacity. First, a mathematical formulation of the hosting capacity problem for bus overvoltage concerns is presented, followed by the proposed analysis approach. In the proposed approach, the Monte Carlo method is used to simulate the scenarios of probable PV locations and sizes while the hourly analysis framework is used to include the daily variations in load and PV generation. Next, a method to evaluate the percentage accuracy of the hosting capacity results is presented. The sensitivity of PV hosting results to multiple parameters related to both feeder characteristics and simulation method are evaluated as well. The utility of the proposed framework is presented using an actual 12.47-kV distribution circuit. In sum, by presenting a PV hosting analysis method, accuracy assessment framework, and sensitivity analysis approach, this paper provides a thorough understanding of the PV hosting capacity problem.
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In all examined studies, the permissible violation probability was 5% or more.
“In the criteria of all examined studies, the permissible violation probability was 5% or more [41,42,60,61].”
From Stochastic Approach for Increasing the PV Hosting Capacity of a Low-Voltage Distribution Network (2022) · cites this paper as [60]
The probability limitations chosen for analysis are significantly more conservative than the commonly used limit.
“The probability limitations chosen for analysis are significantly more conservative than the commonly used limit.”
From Stochastic Approach for Increasing the PV Hosting Capacity of a Low-Voltage Distribution Network (2022) · cites this paper as [60]
Cites
Impact of widespread photovoltaics generation on distribution systems
Thomson, M., & Infield, D. G. (2007) · IET Renewable Power Generation · doi:10.1049/iet-rpg:20060009 · Cited by 350 · see citing works
Monte Carlo-based assessment of PV impacts on real UK low voltage networks
Navarro, A., Ochoa, L. F., & Randles, D. (2013) · 2013 IEEE Power & Energy Society General Meeting · doi:10.1109/pesmg.2013.6672620 · Cited by 93 · see citing works
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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
Stochastic Approach for Increasing the PV Hosting Capacity of a Low-Voltage Distribution Network
Bendík, J., Cenký, M., Cintula, B., Beláń, A., Eleschová, Ž., & Janiga, P. (2022) · Processes · doi:10.3390/pr11010009 · Cited by 26 · see citing works
- Authors
- Dubey, A., & Santoso, S.
- Affiliations
- Washington State University (US)
- The University of Texas at Austin (US)
- Venue
- IEEE Transactions on Power Systems
- Published
- 2017-07
- Volume
- 32
- Issue
- 4
- Pages
- 2779-2789
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2542583230
- Cited by
- 151
- References
- 2
- Citations by year
- 2026: 11 · 2025: 8 · 2024: 14 · 2023: 22 · 2022: 27 · 2021: 23 · 2020: 21 · 2019: 14 · 2018: 8 · 2017: 2 · 2012: 1
- FWCI
- 3.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Power Systems (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Control and Systems Engineering › Thermal Analysis in Power Transmission
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- photovoltaic hosting capacity, distribution circuits, Monte Carlo simulation, sensitivity analysis, accuracy assessment, residential photovoltaic systems
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