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.

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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

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article

Research on Online Data Collection and Detection Method of New Energy Station Based on Multi-Layer Evaluation System

Peng Liu, Kun Zheng, Zhiyuan Sun
Regional Development and Environment
article

Research on Online Data Collection and Detection Method of New Energy Station Based on Multi-Layer Evaluation System

Peng Liu, Kun Zheng, Zhiyuan Sun
article en

Abstract

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.

China Southern Power Grid (China) (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 58%
Regional Development and Environment
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