Precautions for operation and maintenance of wind turbines

With the increasing types and quantities of wind turbines, the continuous operation of new units, and the aging of old units, the daily operation and maintenance of wind turbines are becoming increasingly important. Now let's discuss the operation and maintenance of the fan.

1、 Run

The control system of wind turbines is controlled by industrial microprocessors, which generally run in parallel with multiple CPUs and have strong anti-interference ability. It can be remotely controlled by connecting to a computer through communication lines, greatly reducing the workload of operation. Therefore, the operation of the fan involves remote troubleshooting, statistical analysis of operational data, and analysis of fault causes.

Most of the faults in the remote troubleshooting fan can be controlled through remote reset and automatic reset. The operation of wind turbines is closely related to the quality of the power grid. In order to achieve bidirectional protection, the wind turbine is equipped with various protection faults such as high and low grid voltage, high and low grid frequency, which can be automatically reset. Due to the uncontrollability of wind energy, the limit value of wind speed can also be automatically reset. In addition, the temperature limit can also be automatically reset, such as high generator temperature, high or low gearbox temperature, low ambient temperature, etc. The overload fault of the fan can also be automatically reset.

Other reasons for remote reset control faults besides automatic reset faults are as follows:

(1) Fan controller false alarm fault;

(2) Malfunction of each detection sensor;

(3) The controller believes that the operation of the fan is unreliable

Through in-depth analysis of various faults in the fan, the time for troubleshooting can be reduced or the occurrence of multiple faults can be prevented, downtime can be reduced, and the integrity and usability of the equipment can be improved. For example, through the analysis of the overload fault of the yaw motor in a 150kW wind turbine, we have learned that there are many reasons for the fault. Firstly, the wear of the motor output shaft and key block on the machinery leads to overload, the change in clearance between the yaw shoes causes overload, and the tooth breakage of the yaw large gear plate causes overload of the yaw motor. The causes of electrical overload include damage to the soft bias module, damage to the soft bias trigger board, damage to the yaw contactor, abnormal yaw electromagnetic braking, etc.

The detailed statistical analysis of operational data during the operation of wind farm equipment is an important component of wind farm management. Through statistical analysis of operational data, evaluation and quantification of operation and maintenance work can be carried out, and effective theoretical basis can be provided for the design of wind farms, evaluation of wind resources, and selection of equipment.

The monthly power generation statistics report is an important component of operational work, and its authenticity and reliability are directly related to economic benefits. The main content includes: monthly power generation of wind turbines, on-site electricity consumption, normal working hours of wind turbine equipment, failure time, standard usage time, power grid outage, failure time, etc.

The statistics and analysis of wind turbine power curve data can provide practical basis for improving the output and wind energy utilization of wind turbines. For example, after analyzing the power curve of the localized fan, the installation angle of the last three fans was adjusted, which reduced the output in the high wind speed area, improved the utilization rate in the low wind speed area, reduced the excessive fault and generator over temperature fault, and improved the availability of equipment. Through statistical analysis of wind volume data, the output patterns of various types of fans with seasonal changes have been mastered, and a reasonable regular maintenance schedule has been developed to reduce the waste of wind resources.