Wind turbine generator operation state monitoring method and system

Abstract

The invention provides a wind turbine generator operation state monitoring method. Pose monitoring devices are installed in a cabin and a hub respectively, monitoring data are collected and transmitted to a cabin cabinet processor and a variable pitch control cabinet processor, and the cabin cabinet processor and the variable pitch control cabinet processor perform logical judgment according to the monitoring data and execute correction operation in time. The invention further provides a wind turbine generator operation state monitoring system. The wind turbine generator operation state monitoring system comprises the two pose monitoring devices connected with the cabin cabinet processor and the variable pitch control cabinet processor respectively. According to the wind turbine generator operation state monitoring method and system, the state data of the cabin and an impeller can be monitored in real time, correction is performed in time when the state exceeds a preset safety range, sub-modules in the adopted pose monitoring devices are mature in technology, low in cost and convenient to install and implement, and full-automatic treatment of collection, monitoring and problem correction can be achieved.

Description

technical field [0001] The invention relates to a method and system for monitoring the running state of a wind turbine, and belongs to the technical field of wind turbine monitoring. Background technique [0002] The wind turbine is a device that drives the wind generator to rotate by the impeller turning against the wind, and converts wind energy into mechanical energy and then into electrical energy. During the operation of the wind turbine, it is necessary to adjust the pitch angle and yaw direction of the blades in real time in order to maximize the use of wind energy, increase the hours of power generation, and reduce the load on the main components of the wind turbine. The working environment of wind turbines is harsh. Under the influence of external conditions such as changing wind speed and direction, wind shear, tower shadow effect, turbulence and other external conditions, wind speed and direction sensors, pitch control systems, and main control systems may malfunc...

AI Technical Summary

Problems solved by technology

The working environment of wind turbines is harsh. Under the influence of external conditions such as changing wind speed and direction, wind shear, tower shadow effect, turbulence and other external conditions, wind speed and direction sensors, pitch control systems, and main control systems may malfunction, further causing pitch deviation. If the flight fault or deviation is too large, it may eventually cause the impeller to rotate unbalanced, the yaw error exceeds the standard, and the blade, hub, nacelle, tower load and other failure risks

[0003] In recent years, wind turbines have continued to develop towards large-scale and intelligent development. Online fault monitoring systems have become more and more common in wind turbines. The current online fault monitoring system generally monitors the vibration, strain, State parameters such as cracks, temperature, and rotational speed are used to feed back whether the wind turbine is faulty, but this type of monitoring method can only be monitored after the wind speed and direction sensing system, pitch system, and main control system have certain faults that lead to abnormal parameters of the main components. Abnormal data, there is a certain lag, and the monitoring results cannot directly reflect what causes the abnormal state of the component, and the actual application effect has certain limitations

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