34 results about "Wind forecast" patented technology

A method for feeding electrical energy into an electrical supply grid by means of a wind turbine or wind farm, where the wind turbine or wind farm converts kinetic energy from wind with variable speed to electrical energy, a wind speed is predicted based on a wind forecast and a reactive power to be fed in is calculated as predicted reactive power based on the predicted wind speed.

The present invention provides a method for forecasting instantaneous wind conditions in mountainous areas based on computational fluid dynamics and machine learning. Real-time transient wind forecast data. The real-time transient wind data forecast model is established through the following steps: establish a digital geometric model of the wind field in the mountainous area to be forecast; use computational fluid dynamics method to perform numerical calculations of all wind directions and full wind speeds on the digital geometric model of the wind field in the mountainous area, and establish a wind field in the mountainous area. The wind environment simulation database of the field; the simulated wind data of the measured points and the points to be predicted are extracted; the real-time transient wind data forecast model is established through machine learning. The above-mentioned technical solution utilizes the ability of computational fluid dynamics simulation technology to finely capture complex wind conditions in three-dimensional space, and the ability of machine learning algorithms to reconstruct high-dimensional data matrices; it has more refined spatial forecasting capabilities and more accurate forecasting accuracy.

The invention belongs to the field of meteorological forecasting, specifically a method for forecasting strong winds in special terrain; Step 1: Select the location interval that needs to be forecasted for strong winds; Step 2: Establish a numerical forecast site; Extract the corresponding values ​​under the variables of different heights and times The wind speed forecast value in the forecast station; Step 3: Through polynomial linear regression equation calculation, carry out secondary forecast to the corresponding wind speed; Step 4: Establish interval forecast station; Measure the start and end wind time and wind speed at the upstream interval forecast station; Step Five: Establish the wind speed equation of the upstream and downstream stations, and estimate the wind speed of the downstream interval forecast station to be measured; Step six: The estimated wind speed at the location obtained by the quadratic modeling method and the wind speed at the location obtained by the upstream and downstream index station method The predicted values ​​are combined to obtain an accurate strong wind forecast value for the location. The invention integrates the secondary modeling correction and the upstream and downstream index station method, effectively reducing the forecast error greatly.