Regional control method of wind farm based on lidar

Abstract

The invention discloses a laser radar-based regionalized control method for a wind farm. The method is to install one or several laser radars at the edge of the wind farm, and collect the wind speed data in front of the wind rotor of the unit and the unit itself in real time through the laser radar. The calculated equivalent wind speed is trained with deep learning big data, and a reliable prediction model is established, which is mapped to other aircraft positions that are not equipped with lidar, and virtual lidar is generated to realize feed-forward control of each unit, optimal speed tracking and other controls. The invention uses the laser radar to measure the real-time wind speed signal, so that the data is not disturbed by the rotation of the wind wheel, uses the field-level industrial computer to perform model training based on the second-level signal data and continuously iteratively updates, and synchronously maps other units in the area to improve the operation level of the entire field unit .

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a laser radar-based regionalized control method for wind farms. Background technique [0002] Lidar anemometer uses the Doppler frequency shift principle to measure wind resources and wind condition parameters. In recent years, it has been rapidly applied and promoted as an advanced sensing device in the wind power industry. The nacelle-type laser radar is installed above the nacelle of the wind turbine. By emitting high-frequency laser pulses into the atmosphere in front of the wind rotor, after data processing and calculation, the real-time measured wind speed at different distances from the hub height of the wind turbine can be obtained. With the development of wind turbine control technology With continuous improvement and development, the method of wind speed participation control before using the wind rotor surface has been continuously verified and applied. ...

AI Technical Summary

Problems solved by technology

[0003] Although lidar is used in wind farms to varying degrees, due to the price of radar equipment, the standard configuration of lidar for wind turbines has not been widely promoted, and the relevant control strategies and methods are limited to the specific use of lidar. Aircraft use

In addition, the wind speed signals used in the existing wind speed prediction methods are mostly based on the anemometer at the rear of the wind turbine nacelle and the wind tower data in the wind farm. Since the rear of the nacelle is affected by the rotation of the wind rotor and the distance from the wind tower The wind speed data obtained are not suitable for wind turbine control, and most of the wind speed data used for prediction training are long-term average values, and most of the output models are offline models, which cannot adapt to the operation of the unit in real time.

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