Computationally Efficient Impedance Scanning Approach for Inverter-based Resources

2024-01-01
Ouyang, Chenxi
Furlaneto, Renan M.
Meng, Lei
Jacobs, Keijo
Xue, Tao
Karaağaç, Ulaş
Mahseredjian, Jean
Impedance-based stability assessment (IBSA) is an effective method to study sub-synchronous control interaction (SSCI) with inverter-based resources (IBRs) in modern power systems. An IBR's required frequency-dependent impedance model can be obtained via the positive sequence scanning method. In this paper, single-sinusoidal signal and multi-sinusoidal signal-based methods for frequency scanning are investigated and evaluated. To benefit from the advantages of both schemes, hybrid scanning is proposed including perturbation signal, amplitude, and frequency segmentation settings. Additionally, a modified quadratic phase shift scheme is proposed for reducing the high magnitudes of multi-sinusoidal signals. All methods are validated and compared using the average value model of a doubly fed induction generator. The guidelines and recommendations are provided for the proper usage of the proposed hybrid scanning in the sub-synchronous frequency range.
50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024
Citation Formats
C. Ouyang et al., “Computationally Efficient Impedance Scanning Approach for Inverter-based Resources,” presented at the 50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024, Illinois, Amerika Birleşik Devletleri, 2024, Accessed: 00, 2025. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105000924732&origin=inward.