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.
Authors
- Juri Jatskevich (ORCID: https://orcid.org/0000-0002-3069-327X)
- Seyyedmilad Ebrahimi (ORCID: https://orcid.org/0000-0002-7781-2280)
- Taleb Vahabzadeh (ORCID: https://orcid.org/0009-0005-0306-8494)
Institutions
- Electric Power Research Institute (US)
- University of British Columbia (CA)
- Washington State University (US)
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