A yaw angle positioning control method based on time partition and yaw sector

Abstract

The invention discloses a yaw angle positioning control method based on time partition and yaw sector, comprising the following steps: collecting variable data, judging the variable data by a yaw judging module, controlling the yaw by a main control system, and collecting variable data In order to obtain the variable data of wind speed average, wind direction β, yaw angle average α, and yaw times accumulation value N by monitoring the wind speed, wind direction, yaw angle and conventional control variable parameters of the yaw motor action commands of the collection unit, the The variable data is used as the input variable of the yaw determination module; the present invention collects variables such as wind speed, wind direction, yaw angle, yaw motor action command and system time of the unit, and obtains the maximum value of the yaw times of the unit within a certain period of time. It shows that the unit is in the specific yaw sector at this time as the dominant wind direction; the single unit combined with the time zone realizes the yaw-facing wind in advance, which improves the wind-catching ability of the unit and reduces the loss of power generation caused by yaw under strong winds.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a yaw angle positioning control method based on time partitions and yaw sectors. Background technique [0002] Wind speed and wind direction are random in nature. Generally, when wind turbines are designed, the main wind direction of the wind farm is basically the same. In the electronic control design, according to the change of wind direction and wind speed, the yaw control of the unit is yawed against the wind according to the preset yaw angle. However, the micro-site selection of the wind farm unit is not completely consistent with the wind conditions of the actual unit, and there are cases where the main wind direction of the unit in the same wind farm is inconsistent. E.g Figure 6 As shown, the main wind direction of a certain wind farm is consistent in the morning, but the main wind direction is not obvious in the afternoon. This caused the unit to yaw tow...

AI Technical Summary

Problems solved by technology

CN108547736A and CN108825432A use a new algorithm to predict the wind speed change trend based on the operating data of the unit, and then realize the yaw and wind control of the unit. However, due to the complexity of the algorithm and the trouble of code conversion, more tests need to be done, and the development cycle and Long test period

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