一种直驱风机导纳自测方法、装置、电子设备及介质

By injecting disturbance signals into the direct-drive wind turbine and utilizing Fourier transform, the problems of difficult admittance modeling and narrow bandwidth were solved, achieving high-precision, wide-bandwidth admittance measurement and ensuring the stability of the power grid.

CN121676291BActive Publication Date: 2026-07-17NORTH CHINA ELECTRIC POWER UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NORTH CHINA ELECTRIC POWER UNIV
Filing Date
2026-01-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Admittance modeling for direct-drive wind turbines is difficult. Traditional measurement methods rely on internal control parameters and have narrow bandwidth, which cannot meet the requirements for high-precision, wide-bandwidth, and online measurement, thus affecting the stability of the grid-connected system.

Method used

By generating a disturbance signal and injecting it into the direct-drive wind turbine, and using the Fast Fourier Transform to obtain frequency domain data, combined with the control models of the grid-side and turbine-side converters, admittance self-testing is achieved, breaking through the modeling limitations of black-box systems.

Benefits of technology

It achieves high-precision measurement of the admittance characteristics of black-box systems, covering a wide frequency range, and can identify the oscillation risks of grid-connected systems, ensuring the safe operation of the power grid.

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Abstract

本发明公开了一种直驱风机导纳自测方法、装置、电子设备及介质,涉及风力发电技术领域,包括:基于直驱风机,生成并注入扰动信号;利用扰动信号进行数据采集,获取直驱风机的时域信号;基于直驱风机的时域信号利用快速傅里叶变换,获取直驱风机的频域数据;根据直驱风机的频域数据进行测量验证,获取直驱风机导纳自测结果。本发明通过创新的扰动注入与频域辨识技术,在不依赖内部控制参数的情况下,实现了黑盒化直驱风机导纳特性的高精度测量,解决了传统方法依赖内部参数、频带受限、工程实施复杂等行业痛点。其高精度、宽频带、在线测量等优势,使其在新能源并网稳定性分析领域具有广阔的应用前景。
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