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Cited by 35Optimal Power Flow DistributionPower System Optimization and StabilitySmart Grid and Power Systems

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Fast Quasi-Static Time-Series (QSTS) for yearlong PV impact studies using vector quantization

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Deboever, Jeremiah, Grijalva, Santiago, Reno, Matthew J., Broderick, Robert J.·2018·Solar Energy
DOI 10.1016/j.solener.2017.11.013
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Crossref · 10.1016/j.solener.2017.11.013

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  • For a huge number of small installations with several uncertainties that require large computations, the deterministic method becomes insufficient for HC quantification.

    “However, for a huge number of small installations with several uncertainties that require large computations, the deterministic method becomes insufficient for HC quantification [11,73].”

    From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [73]

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Research works printed but not linked: 26

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  10. Deboever, J., Zhang, X., Reno, M.J., Broderick, R.J., Grijalva, S., 2017b. Challenges in reducing computational time of QSTS simulations for distribution system analysis. SAND2017-5743, Albuquerque, NM. · DOI
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  14. Lave, 2015, Characterizing local high-frequency solar variability and its impact to distribution studies, Sol. Energy, 118, 327, 10.1016/j.solener.2015.05.028 · DOI
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  23. Reno, M.J., Deboever, J., Mather, B.A., 2017. Motivation and requirements for quasi-static time series (QSTS) for distribution system analysis. In: IEEE PES General Meeting, Chicago, IL, IL. · DOI
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  26. Zhang, X., Grijalva, S., Reno, M.J., Deboever, J., Broderick, R.J., 2017. A fast quasi-static time series (QSTS) simulation method for pv impact studies using voltage sensitivities of controllable elements. In: IEEE Photovoltaic Specialists Conference (PVSC). · DOI

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Metadata

Authors
Deboever, J., Grijalva, S., Reno, M. J., & Broderick, R. J.
Affiliations
  • Georgia Institute of Technology (US)
  • Sandia National Laboratories (US)
Corresponding author
Deboever, Jeremiah
ORCID
Venue
Solar Energy
Publisher
Elsevier BV
Published
2018-01
Volume
159
Pages
538-547
ISSN
0038-092X (ISSN-L)
DOI
10.1016/j.solener.2017.11.013
OpenAlex
W2770747321
Cited by
35
References
0
Citations by year
2026: 1 · 2025: 2 · 2024: 5 · 2023: 4 · 2022: 2 · 2021: 4 · 2020: 1 · 2019: 7 · 2018: 8
FWCI
1.93
Type
journal article
Language
en
Open access
Licence
Locations
  • Solar Energy (acceptedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
Funders
  • DOE SunShot Initiative (30691)
  • U.S. Department of Energy’s National Nuclear Security Administration (DE-NA0003525)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
Keywords
quasi-static time-series simulation, distributed photovoltaic generation, vector quantization, computational efficiency, capacitor switching, voltage violation, line losses

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