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A Fast Quasi-Static Time Series Simulation Method for PV Smart Inverters with VAR Control using Linear Sensitivity Model
Open accessAbstract
Fast deployment of renewable energy resources in distribution networks, especially solar photovoltaic (PV) systems, have motivated the need for inverter-based voltage regulation. Integration studies are often necessary to fully understand the potential impacts of PV inverter settings on the various elements of the distribution system, including voltage regulators and capacitor banks. A year long quasi-static time series (QSTS) at second-level granularity provides a comprehensive assessment of these impacts, however the computational burden associated with running QSTS limits its applicability. This paper proposes a fast QSTS simulation technique capable of modeling the smart inverter dynamic VAR control functionality and accurately estimating the states of controllable elements including voltage regulators and capacitor banks at each time step. Consequently, the complex interactions between various legacy voltage regulation devices is also captured. The efficacy of the proposed algorithm is demonstrated on the IEEE 13-bus test case with a 98% reduction in computation time.
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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 [82]
The Conclusion (p. 6) describes this paper’s fast, linear-sensitivity QSTS algorithm for three-phase unbalanced systems with discrete-step controls. The Introduction (p. 1) attributes the ability to analyze meshed (non-radial) networks specifically to earlier work [18]; our copy does not explicitly establish that capability for this paper’s extended algorithm. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThese 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 [82]
The Simulation Results (p. 5) report a computation-time reduction of more than 98% relative to brute-force QSTS, and the Conclusion (p. 6) describes the method as more than 90 times faster. Neither establishes the claimed reduction of more than 99%. The Introduction (p. 1) assigns that figure to previous work, not to this paper’s smart-inverter results. (LLM, conf=0.88)
Experimental — accuracy not yet measured
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Research works printed but not linked: 20
- 10.2172/1259558 · DOI
- reno, 2017, Motivation and Requirements for Quasi-Static Time Series (QSTS) for Distribution System Analysis, IEEE PES General Meeting
- 10.2172/1367462 · DOI
- deboever, 2017, Scalability of Vector Quantization Approach for Fast QSTS Simulation, 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 10.1109/PVSC.2017.8366149 · DOI
- deboever, 2018, Fast quasi-static time-series (QSTS) for yearlong PV impact studies using vector quantization, Solar Energy, 10.1016/j.solener.2017.11.013 · DOI · Paper page
- 10.1109/ISGT.2017.8086045 · DOI
- 10.1109/TPWRS.2017.2726502 · DOI
- zhang, 2017, A Fast Quasi-Static Time Series (QSTS) Simulation Method for PV Impact Studies using Voltage Sensitivities of Controllable Elements, 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 10.1109/PVSC.2017.8366414 · DOI
- qureshi, 2018, A Fast Scalable Quasi-Static Time Series Analysis Method for PV Impact Studies using Linear Sensitivity Model, IEEE Transactions on Sustainable Energy
- christakou, 2013, Efficient Computation of Sensitivity Coefficients of Node Voltages and Line Currents in Unbalanced Radial Electrical Distribution Networks, IEEE Transactions on Smart Grid, 4, 741, 10.1109/TSG.2012.2221751 · DOI
- 2013, Advanced inverter technologies report
- 10.2172/1235905 · DOI
- 2018, Electric Tariff Rule 21
- troester, 2009, New German grid codes for connecting PV systems to the medium voltage power grid, 2nd International Workshop on Concentrating Photovoltaic Power Plants Opt Design Prod Grid Connection
- 10.1109/NAPS.2017.8107407 · DOI
- 10.1109/PSCE.2011.5772598 · DOI
- 2017, U S Solar Market Insight
- 10.1109/NAPS.2015.7335080 · DOI
- bernstein, 2017, Load-Flow in Multiphase Distribution Networks: Existence, Uniqueness, and Linear Models, ArXiv e-prints
- tamp, 2014, A sensitivity analysis toolkit for the simplification of mv distribution network voltage management, IEEE Transactions on Smart Grid, 10.1109/TSG.2014.2300146 · DOI
Cited by
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Umoh, V., Davidson, I., Adebiyi, A., & Ekpe, U. (2023) · Energies · doi:10.3390/en16083609 · Cited by 71
Metadata
- Authors
- Qureshi, M. U., Grijalva, S., & Reno, M. J.
- Affiliations
- Georgia Institute of Technology (US)
- Sandia National Laboratories (US)
- Venue
- 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC)
- Publisher
- IEEE
- Published
- 2018-06
- Volume
- 4
- Pages
- 1614-1619
- OpenAlex
- W2902942692
- Cited by
- 11
- References
- 0
- Citations by year
- 2023: 2 · 2022: 1 · 2021: 5 · 2019: 2 · 2018: 1
- FWCI
- 3.19
- Type
- conference paper
- Language
- en
- Open access
- green
- www.osti.gov
- Locations
- World Conference on Photovoltaic Energy Conversion (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
- Keywords
- quasi-static time-series simulation, voltage regulator, capacitor bank, distribution networks, photovoltaic integration, computational efficiency
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