Application of Dynamic Mode Decomposition to Power System Oscillation Identification

The stability of the power system is crucial to the operation of the whole society, and the oscillation of the power system will threaten its stability. Because of the limitations of traditional methods, dynamic mode decomposition (DMD) is introduced in this paper to improve the accuracy and efficiency of power system oscillation identification. Through the data verification of the simulation model, the accuracy of DMD and Prony method is almost the same, and it has higher computational efficiency and real-time performance, which also shows that dynamic mode decomposition method has great potential in power system oscillation analysis.

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Published
2024-12-13
DOI
https://doi.org/10.1109/acepe63527.2024.10871415
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Application of Dynamic Mode Decomposition to Power System Oscillation Identification

Xiaodong Chu, Zhuoyu Lv
Smart Grid and Power Systems
article

Application of Dynamic Mode Decomposition to Power System Oscillation Identification

Xiaodong Chu, Zhuoyu Lv
article en

Abstract

The stability of the power system is crucial to the operation of the whole society, and the oscillation of the power system will threaten its stability. Because of the limitations of traditional methods, dynamic mode decomposition (DMD) is introduced in this paper to improve the accuracy and efficiency of power system oscillation identification. Through the data verification of the simulation model, the accuracy of DMD and Prony method is almost the same, and it has higher computational efficiency and real-time performance, which also shows that dynamic mode decomposition method has great potential in power system oscillation analysis.

Shandong University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 75%
Smart Grid and Power Systems
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