Numerical Recursive Aggregation of VSC-Based Systems Using Impedance Modeling for Stability Analysis

The high penetration of voltage-source converter (VSC) based resources poses stability challenges to modern power systems due to introducing new dynamics with broad time-scale and frequency-coupling. The so-called impedance-based modeling (IBM) is widely used for the dynamic characterization and stability analysis of grid-connected VSCs. In this article, it is first shown that using IBM, the analytical aggregation of interconnected VSC-based systems results in very high-order transfer matrices, which are not conducive to stability analysis. As an alternative, a numerical recursive aggregation technique is proposed for interconnected VSC-based power systems. Using the proposed method, the individual multi-input multi-output transfer matrices of the IBM of VSCs can be readily used for aggregation across a range of discrete frequencies. Moreover, an algorithm is proposed to automate the aggregation of multiconverter-based systems. The proposed technique is illustrated on a VSC-based power system with multiple converters considering the interconnecting line impedances. The time-domain simulations and frequency analysis verify the accuracy and effectiveness of the proposed method, demonstrating that it is over 990 times computationally more efficient than the small-signal injection method for calculating the aggregated load admittance while also offering almost 80 times higher frequency resolution.

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Publication Details

Journal
IEEE Open Journal of the Industrial Electronics Society
Published
2024-12-18
DOI
https://doi.org/10.1109/ojies.2024.3519196
Citations
2
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.42
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article

Numerical Recursive Aggregation of VSC-Based Systems Using Impedance Modeling for Stability Analysis

Juri Jatskevich, Seyyedmilad Ebrahimi, Taleb Vahabzadeh
2 citations
IEEE Open Journal of the Industrial Electronics Society
Power System Optimization and Stability
0.42
article

Numerical Recursive Aggregation of VSC-Based Systems Using Impedance Modeling for Stability Analysis

Juri Jatskevich, Seyyedmilad Ebrahimi, Taleb Vahabzadeh
article en
2 citations

Abstract

The high penetration of voltage-source converter (VSC) based resources poses stability challenges to modern power systems due to introducing new dynamics with broad time-scale and frequency-coupling. The so-called impedance-based modeling (IBM) is widely used for the dynamic characterization and stability analysis of grid-connected VSCs. In this article, it is first shown that using IBM, the analytical aggregation of interconnected VSC-based systems results in very high-order transfer matrices, which are not conducive to stability analysis. As an alternative, a numerical recursive aggregation technique is proposed for interconnected VSC-based power systems. Using the proposed method, the individual multi-input multi-output transfer matrices of the IBM of VSCs can be readily used for aggregation across a range of discrete frequencies. Moreover, an algorithm is proposed to automate the aggregation of multiconverter-based systems. The proposed technique is illustrated on a VSC-based power system with multiple converters considering the interconnecting line impedances. The time-domain simulations and frequency analysis verify the accuracy and effectiveness of the proposed method, demonstrating that it is over 990 times computationally more efficient than the small-signal injection method for calculating the aggregated load admittance while also offering almost 80 times higher frequency resolution.

IEEE Open Journal of the Industrial Electronics SocietyVol. 6
Electric Power Research Institute (US), University of British Columbia (CA), Washington State University (US)
Openalex Percentile: Top 36%
Power System Optimization and Stability
0.42
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Numerical Recursive Aggregation of VSC-Based Systems Using Impedance Modeling for Stability Analysis — Juri Jatskevich, Seyyedmilad Ebrahimi, et al. · IEEE Open Journal of the Industrial Electronics Society (2024) | TGRS Research Map | TGRS