Micro terrain wind power calculation method, device and system

Abstract

The present invention relates to a method, device and system for calculating micro-topography wind power. The method includes: constructing a micro-topography numerical forecast model, and determining the first meteorological element sequence based on the numerical forecast model; obtaining the second meteorological element sequence corresponding to the first meteorological element sequence Meteorological element sequence, and obtain wind power observation value, wind turbine ice thickness observation value and wind turbine hub height observation value of strong wind wind speed; based on the first meteorological element sequence and the second meteorological element sequence, correct the meteorological elements; and based on the revised meteorological Calculate the wind power based on the elements and wind power observations; calculate the wind turbine ice thickness based on the corrected meteorological elements and wind turbine ice thickness observations; and calculate the wind turbine hub Strong wind speed at height; based on the observed wind power, calculated wind power, wind turbine ice thickness, and strong wind speed at the height of the wind turbine hub, calculate the wind power under the target weather conditions.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a method, device and system for calculating micro-topography wind power. Background technique [0002] With the rapid increase of wind power clean energy installed capacity and the gradual increase of wind power installed capacity, the influence of wind power grid integration on the safety and stability of power system has gradually become prominent. In recent years, there have been operating accidents involving large-scale wind power system chain trips at home and abroad. Among them, extreme meteorological disaster conditions such as freezing and strong wind are the important reasons for the accident. Wind turbines are located in micro-terrain areas, and the wind power fluctuates greatly. In winter, the blades freeze and shut down in a centralized manner, resulting in large-scale off-grid, which seriously threatens the safe operation of the grid, such as seriously...

AI Technical Summary

Problems solved by technology

Wind turbines are located in micro-terrain areas, and the wind power fluctuates greatly. In winter, the blades freeze and shut down in a centralized manner, resulting in a large area off-grid, which seriously threatens the safe operation of the grid, such as seriously endangering the balance between supply and demand of the grid load.

In addition, wind turbines are mostly located in areas with strong winds caused by local topography. When strong convective weather systems, typhoons and other weather phenomena pass through the border, the wind turbines will be locked up urgently or even the turbines will be damaged. This will also cause the power of the wind farm to drop sharply and impact the power grid. safe operation of

[0003] The existing wind power prediction methods can be mainly divided into physical model methods, statistical methods, and learning methods. However, these methods regard wind power as a stable time series, and it is difficult to predict the power caused by abrupt events such as wind turbine icing and strong wind shutdown. Therefore, the accuracy of wind power prediction is greatly reduced under these extreme disaster conditions

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