Numerical Oscillation Prevention for PV Inverter Controllers in Quasi-Steady-State Simulators

Kapil Duwadi, Fernando B. Dos Reis, Rupak Mahat, Robert Fourney, Reinaldo Tonkoski, Timothy M. Hansen, Bishnu P. Bhattarai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Droop-based inverter control methods are popular for preventing overvoltage in low voltage networks with high installations of photovoltaic (PV) solar. Quasi-steady-state simulators (QSTS) can be used to reduce the computational burden of conducting long-term techno-economic analyses of such PV inverter controllers. If dynamic models for droop-based controllers are directly implemented in QSTS, numerical oscillation occurs and the controllers fail to converge to their steady-state operation. In this paper, a power network sensitivity-based algorithm is proposed for preventing numerical oscillation while implementing active and reactive droop-based PV inverter controllers in QSTS (i.e., GridLAB-D). Convergence of the sensitivity-based algorithm is verified using a typical radial distribution feeder for three droop-based PV inverter controllers. The proposed algorithm limits the maximum error in voltage below 0.5% for all controllers compared to the dynamic simulation in PSCAD.

Original languageEnglish
Title of host publication2019 IEEE Power and Energy Society General Meeting, PESGM 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728119816
DOIs
StatePublished - Aug 2019
Externally publishedYes
Event2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States
Duration: 4 Aug 20198 Aug 2019

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2019-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/TerritoryUnited States
CityAtlanta
Period4/08/198/08/19

Keywords

  • GridLAB-D
  • PSCAD
  • PV inverter control
  • quasi-steady-state simulation

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