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Title: Model Identification of Inverter Nonlinear Control Dynamics

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.

Authors:
; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1500066
Report Number(s):
NREL/CP-5D00-72503
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
Proceedings of the 2018 IEEE Electronic Power Grid (eGrid), 12-14 November 2018, Charleston, South Carolina
Additional Journal Information:
Journal Name: Proceedings of the 2018 IEEE Electronic Power Grid (eGrid), 12-14 November 2018, Charleston, South Carolina
Publisher:
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE)
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; model identification; inverter; nonlinear control

Citation Formats

Villegas Pico, Hugo N., Mather, Barry, and Seo, Gab-Su. Model Identification of Inverter Nonlinear Control Dynamics. United States: N. p., 2018. Web. doi:10.1109/eGRID.2018.8598677.
Villegas Pico, Hugo N., Mather, Barry, & Seo, Gab-Su. Model Identification of Inverter Nonlinear Control Dynamics. United States. doi:10.1109/eGRID.2018.8598677.
Villegas Pico, Hugo N., Mather, Barry, and Seo, Gab-Su. Thu . "Model Identification of Inverter Nonlinear Control Dynamics". United States. doi:10.1109/eGRID.2018.8598677.
@article{osti_1500066,
title = {Model Identification of Inverter Nonlinear Control Dynamics},
author = {Villegas Pico, Hugo N. and Mather, Barry and Seo, Gab-Su},
abstractNote = {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.},
doi = {10.1109/eGRID.2018.8598677},
journal = {Proceedings of the 2018 IEEE Electronic Power Grid (eGrid), 12-14 November 2018, Charleston, South Carolina},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}