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Cited by 46Optimal Power Flow DistributionPower System Optimization and StabilityElectric Power System Optimization

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A Fast Scalable Quasi-Static Time Series Analysis Method for PV Impact Studies Using Linear Sensitivity Model

Qureshi, Muhammad Umer, Grijalva, Santiago, Reno, Matthew J., Deboever, Jeremiah, Zhang, Xiaochen, Broderick, Robert J.·2019·IEEE Transactions on Sustainable Energy
DOI 10.1109/tste.2018.2833748
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Abstract

Understanding the impact of distributed photovoltaic (PV) resources on various elements of the distribution feeder is imperative for their cost effective integration. A year-long quasi-static time series (QSTS) simulation at 1-second granularity is often necessary to fully study these impacts. However, the significant computational burden associated with running QSTS simulations is a major challenge to their adoption. In this paper, we propose a fast scalable QSTS simulation algorithm that is based on a linear sensitivity model for estimating voltage-related PV impact metrics of a three-phase unbalanced, nonradial distribution system with various discrete step control elements including tap changing transformers and capacitor banks. The algorithm relies on computing voltage sensitivities while taking into account all the effects of discrete controllable elements in the circuit. Consequently, the proposed sensitivity model can accurately estimate the state of controllers at each time step and the number of control actions throughout the year. For the test case of a real distribution feeder with 2969 buses (5469 nodes), 6 load/PV time series power profiles, and 9 voltage regulating elements including controller delays, the proposed algorithm demonstrates a dramatic time reduction, more than 180 times faster than traditional QSTS techniques.

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  • Refs [82,83] presented a fast scalable quasi-static time series (QSTS) simulation algorithm using a linear sensitivity model to perform time series analysis on a 3-phase unbalanced, non-radial distribution network with different discrete step control elements.

    “For example, Refs.[82,83] presented a fast scalable quasi-static time series (QSTS) simulation algorithm using a linear sensitivity model to perform time series analysis on a 3-phase unbalanced, non-radial distribution network with different discrete step control elements.”

    From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [83]

  • These fast QSTS studies show more than a 99% reduction in computation time compared to the traditional time series method.

    “The results of these studies show more than a 99% reduction in computation time compared to the traditional time series method.”

    From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [83]

Citations

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Research works printed but not linked: 34

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Metadata

Authors
Qureshi, M. U., Grijalva, S., Reno, M. J., Deboever, J., Zhang, X., & Broderick, R. J.
Affiliations
  • Georgia Institute of Technology (US)
  • Sandia National Laboratories (US)
ORCID
Venue
IEEE Transactions on Sustainable Energy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2019-01
Volume
10
Issue
1
Pages
301-310
ISSN
  • 1949-3029 (ISSN-L)
  • 1949-3037
DOI
10.1109/tste.2018.2833748
OpenAlex
W2800730011
Cited by
46
References
0
Citations by year
2025: 3 · 2024: 6 · 2023: 8 · 2022: 7 · 2021: 8 · 2020: 3 · 2019: 8
FWCI
2.11
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • IEEE Transactions on Sustainable Energy (publishedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
Funders
DOE SunShot Initiative (30691)
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 › Electric Power System Optimization
Keywords
quasi-static time-series simulation, distributed photovoltaic integration, voltage sensitivity, distribution feeders, tap-changing transformers, capacitor bank, voltage regulation, computational efficiency

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