Aggregated and Reduced-Order Admittance-Based Modeling of Converter-Interfaced Resources for Power Systems Transient Analysis

The proliferation of converter-interfaced resources (CIRs) in power grids has highlighted the need for their accurate and efficient modeling. This paper proposes an aggregated and reduced-order admittance-based modeling (ARO-ABM) method for multi-converter systems, aimed at achieving efficient time-...

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Bibliographic Details
Published in2024 6th Global Power, Energy and Communication Conference (GPECOM) pp. 846 - 851
Main Authors Safavizadeh, Arash, Kaushik, Abhay, Ebrahimi, Seyyedmilad, Jatskevich, Juri
Format Conference Proceeding
LanguageEnglish
Published IEEE 04.06.2024
Subjects
Accuracy
Admittance
Admittance-based modeling
aggregated modeling
Analytical models
Computational modeling
Grid following
grid-following converter
Mathematical models
model order reduction
Power system dynamics
transfer function
transient simulation
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Summary:The proliferation of converter-interfaced resources (CIRs) in power grids has highlighted the need for their accurate and efficient modeling. This paper proposes an aggregated and reduced-order admittance-based modeling (ARO-ABM) method for multi-converter systems, aimed at achieving efficient time-domain simulations. First, the nonlinear subsystems of the grid-following CIR with slow dynamics, i.e., the phase-locked loop (PLL) and power controller, are linearized. Then, both the fast (linear) and slow (linearized) subsystems of the CIR system are integrated into a unified admittance-based transfer matrix model. Subsequently, the obtained admittance models of the CIRs, combined with the impedance of the collector lines, facilitate the proposed aggregated modeling of multi-converter systems. This aggregation, followed by model-order reduction, reduces the computations and simplifies the evaluation of the overall dynamic behavior of the multi-converter system, as seen from the external power network. The accuracy and computational improvement of the proposed ARO-ABM are verified through simulations using MATLAB/Simulink.
ISSN:2832-7675
DOI:10.1109/GPECOM61896.2024.10582628