Stability analysis of time-delay perturbed microgrids via a critical eigenvalue tracking method

Yiwei Feng; Minghua Li

doi:10.1117/12.3022768

28 March 2024 Stability analysis of time-delay perturbed microgrids via a critical eigenvalue tracking method

Yiwei Feng, Minghua Li

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 1309125 (2024) https://doi.org/10.1117/12.3022768
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

The time delay among neighboring microgrids is inevitable. Besides, the perturbations in the microgrid control process may make the time-delay stability more complicated. In order to consider the stability issues, this paper builds the time-delay dynamic model of microgrids with eigenvalue tracking method. To address the effect of communication delays and perturbations on the frequency stability of the microgrid, an effective frequency domain method called eigenvalue tracking is used. This method accurately determines the stable delay margin and the critical eigenvalue on the imaginary axis of the interconnected time-delay microgrids. It demonstrates that the method is easier to use to obtain accurate delay margins than the Lyapunov stability principle. Finally, a three-zone delayed power system and a multi-zone power system with AC-DC interconnection are used as examples to illustrate the feasibility and superiority of the method.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yiwei Feng and Minghua Li "Stability analysis of time-delay perturbed microgrids via a critical eigenvalue tracking method", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 1309125 (28 March 2024); https://doi.org/10.1117/12.3022768

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