DOAJ Open Access 2025

Fast Power Control Strategy for Grid‐Forming Inverter Based on Model Reference Adaptation

Xinxin Fu Xing Zhang Feng Han Mengze Wu Zixuan Guo

Abstrak

ABSTRACT With the improvement of the new energy penetration rate, the power grid presents the characteristics of a weak current network, and a series of unstable problems appear. Compared with the grid‐following inverter (GFLI), the grid‐forming inverter (GFMI) provides essential voltage and frequency stabilisation capabilities for weak grids and has received extensive attention. Under the condition that the grid frequency does not exceed the limit, in order to give consideration to the economy, it is hoped that the inverter can track the maximum power point (MPP) of new energy so as to improve the utilisation rate of new energy. However, the active power control bandwidth of GFMI is low, which cannot meet the requirements of MPP tracking control rapidity. Therefore, this paper proposes a fast power control strategy for GFMI: firstly, the active power control bandwidth is improved by a prefilter with leading characteristics; then, model reference is used to adaptively adjust the parameters of the prefilter to avoid the impact of grid impedance changes on bandwidth enhancement performance. With the proposed control, the GFMI can quickly adjust the output power and track the maximum power point of new energy without affecting the stability. Finally, experimental validation confirms the technical feasibility and performance superiority of the proposed strategy.

Topik & Kata Kunci

Penulis (5)

X

Xinxin Fu

X

Xing Zhang

F

Feng Han

M

Mengze Wu

Z

Zixuan Guo

Format Sitasi

Fu, X., Zhang, X., Han, F., Wu, M., Guo, Z. (2025). Fast Power Control Strategy for Grid‐Forming Inverter Based on Model Reference Adaptation. https://doi.org/10.1049/pel2.70108

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.1049/pel2.70108
Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.1049/pel2.70108
Akses
Open Access ✓