Method and device for predicting residual life of key structure position of wind turbine generator

Abstract

The invention provides a method and a device for predicting the residual life of a key structure position of a wind turbine generator. The method comprises the following steps: establishing a wind turbine generator digital mirror image model and a wind power plant external environment extrapolation digital mirror image model; performing combined simulation on the possible operation state of the wind turbine generator and the wind condition of the wind turbine generator, and extracting simulation results corresponding to the working conditions to establish a simulation result database; establishing a wind turbine generator site load database according to the site actual operation condition statistical data and possible wind regime data; performing equivalent fatigue load calculation analysis on the standard design load data and the site load data according to an equivalent fatigue load algorithm; and establishing a wind turbine generator key structure position residual life analysis model, and carrying out analysis calculation on the key structure position of a single generator and the residual life of the whole generator. According to the method and the device for predicting the residual life of the key structure position of the wind turbine generator, efficient and accurate online prediction analysis of the residual life of the wind turbine generator can be realized.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a method and device for predicting the remaining life of a key structural position of a wind turbine. Background technique [0002] At present, my country's wind power industry is developing rapidly, especially the construction of offshore wind power and large bases. The units in the wind farm are limited by the environmental conditions and the wind field's own factors, and there are situations that do not match the design conditions or even seriously deteriorate. The safe and reliable operation of unit equipment puts forward higher requirements. As the capacity of wind turbines continues to increase, the weight of the unit, the diameter of the impeller, and the height of the tower have also doubled, especially in areas with low wind speeds. In order to obtain better wind resources, super high towers and large impeller units are usually used, resulting The load of t...

AI Technical Summary

Problems solved by technology

[0003] For the operation monitoring and life analysis of wind turbines, the SCADA system data during the historical operation period, the oil and vibration data extracted by the CMS system are traditionally used to extract and analyze the characteristic parameters, and combined with the stress and strain sensors at the site structural components or key positions Data, in order to achieve the purpose of remaining life analysis and accident warning, but both types of systems are low-frequency historical operation data of the unit, which has a low correlation with the operating state of the unit, especially the life of the unit, and it is difficult to guarantee the accuracy of the remaining life analysis. At the same time, the life calculation is usually an offline feedback, which is difficult to achieve efficient online digital prediction

Images