Model Identification of Inverter Nonlinear Control Dynamics

Hugo N. Villegas Pico, Barry Mather, Gab Su Seo

Research output: Contribution to conferencePaperpeer-review

2 Scopus Citations

Abstract

To comprehensively predict in silico potential disruptive dynamic performance of converter-based generation and develop solutions, the application of electromagnetic transient programs is desirable. However, these accurate simulations highly depend on inverter models of actual field implementations, which are often unavailable because they are proprietary. To address this problem, we propose a time-domain model identification method that can be used to determine the control models of inverters in continuous time from multiple experimental studies. The focus is on identifying the dynamic representation of controls because they dominate the dynamic response of renewable assets. To illustrate the applicability of the technique, we consider a subclass of inverter controllers for autonomous grid applications that rely on nonlinear oscillators.

Original languageAmerican English
Number of pages6
DOIs
StatePublished - 31 Dec 2018
Event3rd IEEE International Workshop on Electronic Power Grid, eGrid 2018 - Charleston, United States
Duration: 12 Nov 201814 Nov 2018

Conference

Conference3rd IEEE International Workshop on Electronic Power Grid, eGrid 2018
Country/TerritoryUnited States
CityCharleston
Period12/11/1814/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

NREL Publication Number

  • NREL/CP-5D00-72503

Keywords

  • inverter
  • model identification
  • nonlinear control

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