Atmospheric stability and wind direction standard deviation method-based wind speed extrapolation method

Abstract

The invention discloses an atmospheric stability and wind direction standard deviation method-based wind speed extrapolation method. By screening a data set of an anemometer tower, low-wind-speed datasmaller than a cut-in wind speed of a fan and high-wind-speed data greater than a cut-out wind speed of the fan are deleted; ground roughness at the anemometer tower is calculated; a wind direction standard deviation in the screened data set is subjected to roughness correction by applying a ground roughness value; atmospheric stability classification is performed by adopting a wind direction standard deviation method; an average wind shear index under each atmospheric stability is calculated; by applying a power law method, calculation is performed to obtain a wind speed at a hub height under each atmospheric stability; and summarization is performed to obtain a wind speed set at hub heights. Wind shear conditions of different height layers under different atmospheric stabilities can bereflected more accurately; the changes of the wind shear indexes along with the atmospheric stabilities can be better reflected; the wind speed of the high layer can be calculated more accurately; andthe method has a certain guiding significance for wind power engineering project feasibility research, microscopic location selection and the like.

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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