Research on Online Data Collection and Detection Method of New Energy Station Based on Multi-Layer Evaluation System
With the rapid development of the new energy industry, the scale of wind farm stations continues to expand, and the amount of data generated has also increased sharply. To ensure the efficient and stable operation of the new energy station, this paper intends to build a set of online data collection and detection methods based on a multi-layer evaluation system. Firstly, the data of wind farm stations are collected and pre-processed online, and the online data collection model of wind turbines is constructed. Finally, the online data collection simulation is stratified based on typical wind turbines. Firstly, Fourier analysis is performed on the data to construct the first layer assessment, and then the second layer assessment is constructed based on the ratio of wind turbine output power to generator output power. Based on Matlab/Simulink simulation verification, complete the online data collection and evaluation of the wind farm station, to achieve real-time monitoring of the station operating status, timely warning when the wind farm station output power and current problems, and improve the stability of the wind farm station operation.
Authors
- Peng Liu (ORCID: https://orcid.org/0000-0002-5101-9954)
- Kun Zheng (ORCID: https://orcid.org/0000-0001-7556-0203)
- Zhiyuan Sun
Institutions
- China Southern Power Grid (China) (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/icpre62586.2024.10768569
- Primary Topic
- Regional Development and Environment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China