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.
Authors
- Xiaodong Chu (ORCID: https://orcid.org/0000-0001-6790-9962)
- Zhuoyu Lv
Institutions
- Shandong University (CN)
Publication Details
- 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
Funders
- National Key Research and Development Program of China