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

Barry Mather, Matthew Reno, Joseph Azzolini

Research output: Contribution to conferencePaperpeer-review

3 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 languageAmerican English
Pages1626-1631
Number of pages6
DOIs
StatePublished - 26 Nov 2018
Event7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - Waikoloa Village, United States
Duration: 10 Jun 201815 Jun 2018

Conference

Conference7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018
Country/TerritoryUnited States
CityWaikoloa Village
Period10/06/1815/06/18

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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