Dynamic unbalance online testing and fault identification method and system for wind turbine generators

Abstract

The invention discloses a dynamic unbalance online testing and fault identification method and system for wind turbine generators. The method includes the following steps that within a set time duration, synchronous sampling on the generator power, the pitch angle position, the wind wheel rotating speed and the accelerated speed of a cabin in the front and back direction is carried out; according to the generator power and the pitch angle position collected according to synchronous sampling, whether a draught fan runs under the designed testing work condition or not is judged; if it is judged that the draught fan runs under the designed testing work condition, at least spectral analysis is carried out on time series of the collected wind wheel rotating speed; according to results of the spectral analysis on the time series of the collected wind wheel rotating speed, whether the draught fan has impeller unbalance faults or not is judged; if the draught fan has impeller unbalance faults, either pneumatic imbalance or quality moment imbalance is the reason of unbalancedness is judged according to the results of the spectral analysis on the time series of the accelerated speed of the cabin in the front and back direction. The invention further discloses a corresponding system.

Description

technical field [0001] The invention relates to a method and system for state monitoring and fault diagnosis of a wind turbine, in particular to a method and system for on-line fault detection and identification of impeller unbalance. Background technique [0002] As a clean and renewable energy, wind energy has been paid more and more attention by countries all over the world. Driven by the national development and utilization of renewable energy policies, my country's wind power industry has developed rapidly, and its grid-connected capacity has reached the first in the world, and there is still great potential for development. However, with the continuous development of unit capacity and large-scale wind farms, how to improve and ensure the reliability of wind turbine operation has become a research hotspot in this field. [0003] For large-capacity units with high towers and long blades, there are disadvantages such as large loads and small damping. Due to problems such...

AI Technical Summary

Problems solved by technology

In the above-mentioned patents, it can only detect the imbalance, but cannot further diagnose the specific cause, such as aerodynamic imbalance or mass moment imbalance, etc. It is impossible to refine the cause of the fault, and it is still very difficult to troubleshoot related faults

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