Performance evaluation of oscillation stability analysis method for direct-drive wind power grid connected system considering control strategy switching

In view of the difficulty in evaluating the oscillation stability of direct-drive wind farm integrated power system during fault recovery, this paper proposed an oscillation stability analysis method based on dynamic energy. And the proposed method can depict the path of dynamic energy within the system, quantitatively analyze the influence of each energy interaction behaviors on the system’s stability, and identify the key factors inducing the system oscillation. Firstly, based on the switching characteristic of D-PMSG control strategy, the system is partitioned into low-order subsystems, and each subsystem’s energy model is constructed. On the basis, the dynamic energy items that characterize the energy interaction between different subsystems are extracted, which can be used to quantitatively evaluate the influence of the interaction energy on the system’s stability. Furthermore, a method for quantitative analysis stability is put forward, and the key factors inducing system oscillation instability are identified. Finally, the accuracy and effectiveness of the proposed oscillation stability analysis method are verified by the hardware-in-loop tests. From the tests results, during fault recovery, the system’s oscillation stability can be accurately assessed by the proposed method, and the key factors inducing oscillations can be identified.

Authors

Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-03-04
DOI
https://doi.org/10.1016/j.ijepes.2025.110578
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21

Funders

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Performance evaluation of oscillation stability analysis method for direct-drive wind power grid connected system considering control strategy switching

Jing Ma, Yaqi Shen, Yufeng Zhao, Xi Shi et al.
1 citations
International Journal of Electrical Power & Energy Systems
Microgrid Control and Optimization
1.21
article

Performance evaluation of oscillation stability analysis method for direct-drive wind power grid connected system considering control strategy switching

Jing Ma, Yaqi Shen, Yufeng Zhao, Xi Shi, Ningsai Su, Chenzhao Han
article en
1 citations

Abstract

In view of the difficulty in evaluating the oscillation stability of direct-drive wind farm integrated power system during fault recovery, this paper proposed an oscillation stability analysis method based on dynamic energy. And the proposed method can depict the path of dynamic energy within the system, quantitatively analyze the influence of each energy interaction behaviors on the system’s stability, and identify the key factors inducing the system oscillation. Firstly, based on the switching characteristic of D-PMSG control strategy, the system is partitioned into low-order subsystems, and each subsystem’s energy model is constructed. On the basis, the dynamic energy items that characterize the energy interaction between different subsystems are extracted, which can be used to quantitatively evaluate the influence of the interaction energy on the system’s stability. Furthermore, a method for quantitative analysis stability is put forward, and the key factors inducing system oscillation instability are identified. Finally, the accuracy and effectiveness of the proposed oscillation stability analysis method are verified by the hardware-in-loop tests. From the tests results, during fault recovery, the system’s oscillation stability can be accurately assessed by the proposed method, and the key factors inducing oscillations can be identified.

International Journal of Electrical Power & Energy SystemsVol. 166
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 24%
Microgrid Control and Optimization
1.21
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Performance evaluation of oscillation stability analysis method for direct-drive wind power grid connected system considering control strategy switching — Jing Ma, Yaqi Shen, et al. · International Journal of Electrical Power & Energy Systems (2025) | TGRS Research Map | TGRS