A wind speed extrapolation method based on the wind direction standard deviation method of atmospheric stability

Abstract

The invention discloses a wind speed extrapolation method based on the wind direction standard deviation method of atmospheric stability. By screening the data set of the wind measuring tower, the low wind speed data smaller than the cut-in wind speed of the fan and the high wind speed data higher than the cut-out wind speed of the fan are eliminated. Calculate the ground roughness at the wind measuring tower, use the ground roughness value to correct the wind direction standard deviation in the filtered data set, use the wind direction standard deviation method to classify the atmospheric stability, and calculate the average value of each atmospheric stability The wind shear index, and the application of the power law method, calculate the wind speed at the hub height under each atmospheric stability, and summarize the wind speed set at the hub height; it can accurately reflect different altitudes under different atmospheric stability It can better reflect the change of the wind shear index with the atmospheric stability, and more accurately calculate the high-level wind speed, which can be of certain guiding significance for the feasibility study and micro-site selection of wind power projects.

Description

technical field [0001] The invention relates to a wind speed extrapolation method, in particular to a wind speed extrapolation method based on the wind direction standard deviation method of atmospheric stability, and belongs to the technical field of wind resource assessment of onshore wind farms. Background technique [0002] As the world pays more and more attention to issues such as energy security, ecological environment, and climate change, countries have accelerated energy transformation and industrial chain adjustment to cope with global climate change. As the most widely used and fastest-growing new energy power generation technology, wind power has achieved large-scale development and application around the world. my country is rich in wind energy resources, and the wind energy reserves that can be developed and utilized are about 1 billion kW. The relatively abundant areas are mainly concentrated in the southeast coast and nearby islands, as well as the northern r...

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Problems solved by technology

[0005] The classification of atmospheric stability is mostly based on methods such as gradient Richardson number, M-O length, etc. These methods require wind speed and temperature measurements at different altitudes, but current wind towers usually only have a single temperature measurement point

Moreover, there are few studies on the reliability of the wind speed extrapolation model for the atmospheric stability classification method in the prior art. The present invention provides a wind direction standard deviation method based on the atmospheric stability for flat areas where the wind measuring tower lacks double-layer temperature data. The calculation method of wind speed extrapolation will be useful

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