A Congestion Forecast Framework for Distribution Systems with High Penetration of PVs and PEVs
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This paper presents a congestion forecast framework based on probabilistic power flow for electrical distribution systems with high penetration of solar photovoltaic and plug-in electric vehicles. The proposed framework is tested using data of the real distribution grid of Chalmers campus for case studies to analyze the impact of different local production levels and operating modes of solar photovoltaic inverters. The results have shown that cumulative probability for network congestion in branches and transformers would increase by 30% and 20%, respectively, in the case when level of local solar photovoltaic production, demand, and number of plug-in electric vehicles is increased by 100%, 95%, and 100%, respectively. It has also been shown that network congestion in branches and transformers is 4% and 8%, respectively, more likely to occur in constant-V mode as compared to constant-pf mode. This framework could be used by distribution system operators to predict network congestion.
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The existing literature analyzes EV charging only from the perspective of relieving voltage and congestion problems, not because of the impact single-phase charging stations have on voltage unbalance.
“The existing literature is analyzing the EV charging only from the perspective of relieving voltage and congestion problems [11,12] and not because of the impact that single-phase charging stations have on the voltage unbalance.”
From A Comprehensive Analysis of the Voltage Unbalance Factor in PV and EV Rich Non-Synthetic Low Voltage Distribution Networks (2020) · cites this paper as [12]
The Introduction and Conclusions (page not available in our copy) show that this paper examines EV charging in relation to voltage deviation and network congestion. It forecasts those problems rather than studying how charging relieves them, and it does not establish that the existing literature *only* takes this perspective or address the impact of single-phase charging stations on voltage unbalance. (LLM, conf=0.86)
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Research works printed but not linked: 15
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- C. S. Cheng and D. Shirmohammadi, "A three-phase power flow method for real-time distribution system analysis," IEEE Transactions on Power Systems, vol. 10, no. 2, pp. 671-679, 1995.
- M. Göransson and N. Larsson, "Development of an energy management model for Chalmers microgrid: Application for cost-benefit analysis of battery energy storage." Master's thesis, Chalmers University of Technology, Göteborg, Sweden, 2016.
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Antić, T., Capuder, T., & Bolfek, M. (2020) · Energies · doi:10.3390/en14010117 · Cited by 51 · see citing works
“The existing literature is analyzing the EV charging only from the perspective of relieving voltage and congestion problems [11,12] and not because of the impact that single-phase charging stations have on the voltage unbalance.”
Background
- Authors
- Srivastava, A., Steen, D., Tuan, L. A., & Carlson, O.
- Affiliations
- Chalmers University of Technology (SE)
- Venue
- 2019 IEEE Milan PowerTech
- Publisher
- IEEE
- Published
- 2019-06
- Pages
- 1-6
- OpenAlex
- W2927677207
- Cited by
- 9
- References
- 0
- Citations by year
- 2024: 3 · 2023: 2 · 2022: 1 · 2021: 2 · 2020: 1
- FWCI
- 1.59
- Type
- conference paper
- Language
- en
- Open access
- green
- research.chalmers.se
- Licence
- Locations
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- 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 › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Keywords
- congestion forecasting, probabilistic load flow, photovoltaic penetration, plug-in electric vehicles, distribution system operators
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