Annual wind speed generation method for wind resource assessment

Abstract

The invention relates to wind power generation technologies, in particular to an annual wind speed generation method for wind resource assessment. The method includes the steps: firstly, generating an 8760 data points contained normal-distribution autocorrelation sequence Z with an average obedience value being 0 and variance being 1 according to local annual and monthly average wind speeds, Weibull coefficient, autocorrelation coefficient, day and night mode strength and maximum wind speed moment; secondly, generating a wind speed initial sequence U in annual 8760 hours according to average monthly wind speed, day and night mode strength coefficient and maximum wind speed moment; thirdly, subjecting the wind speed initial sequence U to probability conversion and then added with the autocorrelation sequence Z to obtain a sequence W', and subjecting the sequence W' to probability variation to finally obtain a wind speed sequence W in annual 8760 hours by fitting. Annual wind speed fitting is completed according to various local effective data to finally obtain valid assessment data to adapt to establish of a wind power plant.

Description

technical field [0001] The invention relates to wind resource power generation technology, in particular to a method for generating annual wind speed for wind resource assessment. Background technique [0002] With the further development of wind power generation, the construction of wind farms in my country gradually presents the characteristics of fast speed and large scale, and the construction of wind farms requires the data formed by the processing of wind measurement data at the location of the wind farm and the measurement data of long-term stations (meteorological stations, ocean stations). Wind data, along with the rapid expansion and new construction of wind farms, has led to a lack of wind resource data for the assessment of wind energy resources at the location of wind farms. The generation of annual wind speed, it is particularly necessary to evaluate the wind resources. [0003] Existing wind resource assessment methods generally use the wind resource conditions...

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Problems solved by technology

[0003] Existing wind resource assessment methods generally use the wind resource conditions of representative years or characteristic years recorded by meteorological observations to conduct data statistical analysis, and use correction and fitting methods to obtain annual or monthly average wind speeds. Although they can reflect local wind energy conditions, However, the average annual or monthly wind speed is of little significance for evaluating the annual power generation of wind farms

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