Variable Time-Step Implementation for Rapid Quasi-Static Time-Series (QSTS) Simulations of Distributed PV

Barry Mather; Matthew Reno; Joseph Azzolini

doi:10.1109/PVSC.2018.8547744

Variable Time-Step Implementation for Rapid Quasi-Static Time-Series (QSTS) Simulations of Distributed PV

Barry Mather, Matthew Reno, Joseph Azzolini

Power Systems Engineering

Sandia National Laboratories

Research output: Contribution to conference › Paper › peer-review

5 Scopus Citations

Abstract

Distribution system analysis with high penetrations of distributed PV require quasi-static time-series (QSTS) analysis to model the variability introduced on the distribution system, but current QSTS algorithms are prohibitively burdensome and computationally intensive. This paper proposes a variable timestep algorithm to calculate the critical time periods when QSTS simulations should be solved at higher or lower time-resolution and to backtrack for any critical periods that were missed. This variable time-step solver is a new method of performing timeseries simulations with high accuracy while performing the simulation more than 50 times faster. The scalability of the algorithm is demonstrated using a real utility distribution system model with thousands of buses.

Original language	American English
Pages	1626-1631
Number of pages	6
DOIs	https://doi.org/10.1109/PVSC.2018.8547744 https://doi.org/10.1109/PVSC.2018.8547744
State	Published - 26 Nov 2018
Event	7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - Waikoloa Village, United States Duration: 10 Jun 2018 → 15 Jun 2018

Conference

Conference	7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018
Country/Territory	United States
City	Waikoloa Village
Period	10/06/18 → 15/06/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

NREL Publication Number

NREL/CP-5D00-73731

Keywords

computational modeling
heuristic algorithms
integrated circuit modeling
load flow
load modeling
regulators
voltage control

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Mather, B., Reno, M., & Azzolini, J. (2018). Variable Time-Step Implementation for Rapid Quasi-Static Time-Series (QSTS) Simulations of Distributed PV. 1626-1631. Paper presented at 7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018, Waikoloa Village, United States. https://doi.org/10.1109/PVSC.2018.8547744, https://doi.org/10.1109/PVSC.2018.8547744

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abstract = "Distribution system analysis with high penetrations of distributed PV require quasi-static time-series (QSTS) analysis to model the variability introduced on the distribution system, but current QSTS algorithms are prohibitively burdensome and computationally intensive. This paper proposes a variable timestep algorithm to calculate the critical time periods when QSTS simulations should be solved at higher or lower time-resolution and to backtrack for any critical periods that were missed. This variable time-step solver is a new method of performing timeseries simulations with high accuracy while performing the simulation more than 50 times faster. The scalability of the algorithm is demonstrated using a real utility distribution system model with thousands of buses.",

keywords = "computational modeling, heuristic algorithms, integrated circuit modeling, load flow, load modeling, regulators, voltage control",

author = "Barry Mather and Matthew Reno and Joseph Azzolini",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018 ; Conference date: 10-06-2018 Through 15-06-2018",

year = "2018",

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doi = "10.1109/PVSC.2018.8547744",

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Mather, B, Reno, M & Azzolini, J 2018, 'Variable Time-Step Implementation for Rapid Quasi-Static Time-Series (QSTS) Simulations of Distributed PV', Paper presented at 7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018, Waikoloa Village, United States, 10/06/18 - 15/06/18 pp. 1626-1631. https://doi.org/10.1109/PVSC.2018.8547744, https://doi.org/10.1109/PVSC.2018.8547744

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AU - Azzolini, Joseph

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N2 - Distribution system analysis with high penetrations of distributed PV require quasi-static time-series (QSTS) analysis to model the variability introduced on the distribution system, but current QSTS algorithms are prohibitively burdensome and computationally intensive. This paper proposes a variable timestep algorithm to calculate the critical time periods when QSTS simulations should be solved at higher or lower time-resolution and to backtrack for any critical periods that were missed. This variable time-step solver is a new method of performing timeseries simulations with high accuracy while performing the simulation more than 50 times faster. The scalability of the algorithm is demonstrated using a real utility distribution system model with thousands of buses.

AB - Distribution system analysis with high penetrations of distributed PV require quasi-static time-series (QSTS) analysis to model the variability introduced on the distribution system, but current QSTS algorithms are prohibitively burdensome and computationally intensive. This paper proposes a variable timestep algorithm to calculate the critical time periods when QSTS simulations should be solved at higher or lower time-resolution and to backtrack for any critical periods that were missed. This variable time-step solver is a new method of performing timeseries simulations with high accuracy while performing the simulation more than 50 times faster. The scalability of the algorithm is demonstrated using a real utility distribution system model with thousands of buses.

KW - computational modeling

KW - heuristic algorithms

KW - integrated circuit modeling

KW - load flow

KW - load modeling

KW - regulators

KW - voltage control

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T2 - 7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018

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ER -

Variable Time-Step Implementation for Rapid Quasi-Static Time-Series (QSTS) Simulations of Distributed PV

Abstract

Conference

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Keywords

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