Abstract
Power systems based on voltage-sourced converters (VSCs) enable large-scale integration of renewable and alternative energy resources. However, the high-depth penetration of VSCs gives rise to small-signal stability challenges due to their control interactions and the variations of system operating points. In the technical literature, small-signal stability of VSC-based power grids is typically assessed using transfer function or statespace models that are linearized around one operating point. These models often require internal system information and/or
measurements that are not available in practice, and they need to be updated when the operating point changes. To tackle these issues and expedite stability assessment of VSC-based grids, a data-driven approach that predicts the system damping ratio is proposed. This approach (i) does not require internal system information, (ii) only needs a reduced set of measurements, and (iii) is applicable across varying operating points. The effectiveness and accuracy of the proposed data-driven method is verified based on time-domain simulation studies.
measurements that are not available in practice, and they need to be updated when the operating point changes. To tackle these issues and expedite stability assessment of VSC-based grids, a data-driven approach that predicts the system damping ratio is proposed. This approach (i) does not require internal system information, (ii) only needs a reduced set of measurements, and (iii) is applicable across varying operating points. The effectiveness and accuracy of the proposed data-driven method is verified based on time-domain simulation studies.
| Original language | English |
|---|---|
| Journal | 2025 IEEE Canada Electrical Power and Energy Conference |
| Publication status | Published - 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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