DOAJ Open Access 2026

Autonomous Frequency–Voltage Regulation Strategy for Weak-Grid Renewable-Energy Stations Based on Hybrid Supercapacitors and Cascaded H-Bridge Converters

Geng Niu Yu Ji Ming Wu Nan Zheng Yongmei Liu +2 lainnya

Abstrak

Hybrid supercapacitors possess high power and energy density, while the cascaded H-bridge converter features rapid response capability. Integrating these two components leads to an energy storage system capable of swiftly responding to power demands, effectively mitigating voltage and frequency instability in weak-grid renewable energy stations. Based on this system, in this paper, a novel automatic frequency–voltage regulation strategy is proposed. First, a fast fault severity detection method is proposed. It evaluates the system’s fault condition by monitoring the voltage response and generates auxiliary signals to enable subsequent rapid compensation of voltage and frequency. Subsequently, fast automatic voltage and frequency regulation strategies are developed. These strategies leverage real-time fault assessment to deliver immediate power support to weak-grid renewable stations following a disturbance, thereby effectively stabilizing the terminal voltage magnitude and system frequency. The effectiveness of the proposed method is validated through simulations. A grid-connected model of a weak-grid renewable energy station is established in MATLAB (2023b)/Simulink. Tests under various fault scenarios with different short-circuit ratios and voltage sag depths demonstrate that the proposed strategy can rapidly stabilize both voltage and frequency after large disturbances.

Penulis (7)

G

Geng Niu

Y

Yu Ji

M

Ming Wu

N

Nan Zheng

Y

Yongmei Liu

X

Xiangwu Yan

Y

Yibo Gan

Format Sitasi

Niu, G., Ji, Y., Wu, M., Zheng, N., Liu, Y., Yan, X. et al. (2026). Autonomous Frequency–Voltage Regulation Strategy for Weak-Grid Renewable-Energy Stations Based on Hybrid Supercapacitors and Cascaded H-Bridge Converters. https://doi.org/10.3390/asi9010023

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Informasi Jurnal
Tahun Terbit
2026
Sumber Database
DOAJ
DOI
10.3390/asi9010023
Akses
Open Access ✓