Micro-terrain wind power calculation method, device and system

Abstract

The invention relates to a micro-topography wind power calculation method, device and system, and the method comprises: constructing a micro-topography numerical forecasting mode, and determining a first meteorological element sequence based on the numerical forecasting mode; acquiring a second meteorological element sequence corresponding to the first meteorological element sequence, and acquiring a wind power observation value, a fan icing thickness observation value and a strong wind speed observation value at the height of a fan hub; correcting the meteorological elements based on the first meteorological element sequence and the second meteorological element sequence; calculating the wind power based on the corrected meteorological elements and the wind power observation value; calculating the icing thickness of the fan based on the corrected meteorological elements and the observation value of the icing thickness of the fan; based on the corrected meteorological elements and the wind speed observation value of the strong wind at the height of the fan hub, calculating the wind speed of the strong wind at the height of the fan hub; and calculating the wind power under the target weather condition based on the wind power observation value, the calculated wind power, the fan icing thickness and the strong wind speed at the fan hub height.

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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