TY - JOUR
T1 - Model Reduction for Inverters With Current Limiting and Dispatchable Virtual Oscillator Control
AU - Ajala, Olaoluwapo
AU - Lu, Minghui
AU - Johnson, Brian
AU - Dhople, Sairaj V.
AU - Dominguez-Garcia, Alejandro
N1 - Publisher Copyright:
© 1986-2012 IEEE.
PY - 2022/12/1
Y1 - 2022/12/1
N2 - This paper outlines reduced-order models for grid-forming virtual-oscillator-controlled inverters with nested current- and voltage-control loops, and current-limiting action for over-current protection. While a variety of model-reduction methods have been proposed to tame complexity in inverter models, previous efforts have not included the impact of current-reference limiting. In addition to acknowledging the current-limiting action, the reduced-order models we outline are tailored to networks with resistive and inductive interconnecting lines. Our analytical approach is centered on a smooth function approximation for the current-reference limiter, participation factor analysis to identify slow- and fast-varying states, and singular perturbation to systematically eliminate the fast states. Computational benefits and accuracy of the reduced-order models are benchmarked via numerical simulations that compare them to higher-order averaged and switched models.
AB - This paper outlines reduced-order models for grid-forming virtual-oscillator-controlled inverters with nested current- and voltage-control loops, and current-limiting action for over-current protection. While a variety of model-reduction methods have been proposed to tame complexity in inverter models, previous efforts have not included the impact of current-reference limiting. In addition to acknowledging the current-limiting action, the reduced-order models we outline are tailored to networks with resistive and inductive interconnecting lines. Our analytical approach is centered on a smooth function approximation for the current-reference limiter, participation factor analysis to identify slow- and fast-varying states, and singular perturbation to systematically eliminate the fast states. Computational benefits and accuracy of the reduced-order models are benchmarked via numerical simulations that compare them to higher-order averaged and switched models.
KW - Current limiters
KW - inverters
KW - power system modeling
KW - reduced order systems
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U2 - 10.1109/TEC.2021.3083488
DO - 10.1109/TEC.2021.3083488
M3 - Article
AN - SCOPUS:85107197966
SN - 0885-8969
VL - 37
SP - 2250
EP - 2259
JO - IEEE Transactions on Energy Conversion
JF - IEEE Transactions on Energy Conversion
IS - 4
ER -