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Wind speed vector data simulation generation method considering multiple correlation

A technology of wind speed data and vector data, applied in electrical digital data processing, special data processing applications, calculations, etc., can solve the problem of not considering the condition-dependent characteristics, not considering the wake effect of wind turbines, and unable to take into account the influence of wind direction.

Inactive Publication Date: 2014-11-26
CHONGQING UNIV
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Problems solved by technology

The influence of wind direction on the output power of the wind farm is considered in the existing reliability assessment of a single wind farm considering the wake effect, but the conditional dependence between them is not considered in the simulation of wind speed and wind direction samples
In addition, the existing power system reliability evaluation studies that take into account the correlation of wind speed have not considered the wake effect between wind turbines, let alone the influence of wind direction.

Method used

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  • Wind speed vector data simulation generation method considering multiple correlation
  • Wind speed vector data simulation generation method considering multiple correlation
  • Wind speed vector data simulation generation method considering multiple correlation

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Embodiment Construction

[0026] The specific implementation manner and working principle of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0027] Such as figure 1 As shown, a wind speed vector data simulation generation method considering multiple correlations is carried out according to the following steps:

[0028] Step 1: Input the historical wind speed data w of wind farm A A and wind direction data θ A , input the historical wind speed data w of wind farm B B and wind direction data θ B ;

[0029] Step 2: If figure 2 As shown, there are multiple correlations between the wind direction-wind direction and wind speed-wind speed of two adjacent wind farms. Therefore, it is necessary to select an appropriate Copula function to establish a multiple correlation model of wind speed vectors. The selection steps are as follows:

[0030] First, the normal Copula function, the Gumbel Copula function, the Clayton Copula function and the ...

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Abstract

The invention discloses a wind speed vector data simulation generation method considering multiple correlation. The method includes the steps that a correlation model between wind speed of two wind farms and wind direction of the two wind farms is set up according to the Copula theory, empirical distribution, the Weibull distribution model and a wind speed and wind direction condition dependent model which is set up through clustering, converting and other methods are adopted, a wind speed vector data generation model of the two wind farms is finally generated, and the wind speed vector data generation model has correlation and condition dependency. The wind speed vector data simulation generation method has the advantages that the multi-wind-farm wind speed and wind direction data generated in a simulation mode by adopting the wind speed vector data simulation generation method can keep the same multiple correlation and condition dependency as original data, further keep the same statistical property and the distribution property as the original data well and provide effective reference for the reliability analysis and research on wind farm resource assessment and an electric system containing wind energy.

Description

technical field [0001] The invention relates to a wind speed vector data generation method, in particular to a wind speed vector data simulation generation method considering multiple correlations, and belongs to the technical field of wind power generation. Background technique [0002] Energy such as wind energy and solar energy has been developed and utilized on a large scale in the world as clean and renewable energy. Especially in the development of wind energy resources, as of the end of 2012, the world's installed wind energy capacity reached 282.5GW, of which China reached 75.32GW; it is expected that the world's installed wind energy capacity will reach 418.7GW in 2015, of which China will reach 100GW. With the expansion of the scale of wind farms, multiple wind farms may be established in the same area, and the wind in these wind farms belongs to the same source wind energy, that is, the wind speed in the two wind farms is correlated, and the wind direction is also...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 谢开贵胡博杨贺钧余娟任洲洋马英浩尹蕾
Owner CHONGQING UNIV
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