8. Data-driven frameworks for model identification in IBR-dominated power systems
Dang Duong Nguyen* and Behrooz Bahrani - Department of Electrical and Computer Systems Engineering Monash University, Melbourne, Australia
Data-driven frameworks for model identification in IBR-dominated power systems
- Small-signal stability refers to the ability of a system to operate stably under small perturbations.
- General workflow: Select an operating point → linearise the system around this operating point → evaluate stability based on linear control theory [1].
- Entire system structure is available → time-domain methods based on state-space models (SSMs) and eigenvalues can be directly applied.
- Black-boxed components appear → frequency-domain based methods based on input-output measurements and Nyquist criteria are preferred [2].
- However, frequency-based methods suffer from poor scalability for large systems due to limited representational capability of symbolic transfer functions in the s-domain.
- This research proposes a tangential matching method [3] to achieve SSM of voltage-source converter (VSC) directly from data, which facilitates stability assessment in a flexible and extensible manner.