Energy storage modeling technology for short-circuit current analysis

Qin Fang; Qidi Huo; Zhaoou Song; Ziqi Wang; Xuanjia Zhou; Xiaojun Tang; Lin Tang; Qing Wang

doi:10.1117/12.3005166

25 September 2023 Energy storage modeling technology for short-circuit current analysis

Qin Fang, Qidi Huo, Zhaoou Song, Ziqi Wang, Xuanjia Zhou, Xiaojun Tang, Lin Tang, Qing Wang

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127882T (2023) https://doi.org/10.1117/12.3005166
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Battery energy storage system (BESS) has been rapidly developed and widely used in power systems at home and abroad. However, the mechanism of BESS affecting short-circuit current is not well understood. The existing energy storage models are difficult to accurately reflect the dynamic characteristics during the fault crossing period. This paper researched the energy storage equipment modeling method which is suitable for short-circuit current analysis. And the simulation modeling method of energy storage battery body, DC/DC converter, VSC converter and its control system was studied. Aiming at the unbalanced operation state of energy storage AC side during asymmetric fault, a negative sequence component suppression method and model realization method in phase-locked loop (PLL) and inner/outer loop controllor were proposed. And a simulation analysis model suitable for short-circuit current contribution characteristics of energy storage equipment under different types of AC faults was constructed. The validity and applicability of the constructed energy storage model under the AC asymmetric short-circuit fault were verified by PSCAD/EMTDC simulation platform.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qin Fang, Qidi Huo, Zhaoou Song, Ziqi Wang, Xuanjia Zhou, Xiaojun Tang, Lin Tang, and Qing Wang "Energy storage modeling technology for short-circuit current analysis", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127882T (25 September 2023); https://doi.org/10.1117/12.3005166

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