Wind speed modeling method for large-sized wind power plant in mountainous area
A technology for large-scale wind farms and modeling methods, which is applied in electrical digital data processing, special data processing applications, instruments, etc., and can solve problems such as inability to reflect truly and effectively
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Embodiment 1
[0071] Example 1: Verification that Spearman rank correlation does not change the correlation of variables
[0072] Suppose there is a random sequence of wind speed v s1 , v S2 , the sampling time interval is 1min, and the total sampling time is 10min; the fan output characteristic curve is shown in figure 2 , using the piecewise fitting function formula (4), the cut-in wind speed is 3m / s, the cut-out wind speed is 25m / s, the rated wind speed is 14m / s, and the wind speed-power coefficient is 3; the wind speed sequence is brought into the fan output characteristics Fitting function to get fan output P W1 ,P W2 , the process is actually a monotonous nonlinear transformation of the wind speed random sequence.
[0073] Table 1 lists the wind speed sequence v S1 , v S2 And its rank R1, R2, fan output P W1 ,P W2 and its rank r1, r2, the linear correlation degree obtained for the wind speed sequence in Table 1 is 0.8726, and the linear correlation degree of fan output is 0.8...
Embodiment 2
[0076] Example 2: Using multivariate Copula functions to establish a related wind speed model for Guizhou Jiucaiping Wind Farm
[0077] Guizhou Jiucaiping Wind Farm is a large-scale wind farm in mountainous areas in Guizhou Province. The wind farm is about 45km away from Hezhang County, about 55km away from Liupanshui City, and about 150km away from Bijie City. The wind farm site area is in the shape of an irregular strip from southeast to northwest, about 16km long from east to west, 11km wide from north to south, and an area of about 40km 2 . According to the actual measured data of the historical wind speed of each fan in the monthly typical days of the Jiucaiping Wind Farm from August 2012 to July 2013, the present invention adopts a multivariate normal Copula function to establish a related wind speed model of the wind farm. The wind farm has a total of 56 wind turbines, with a single unit capacity of 1.5MW and a total installed capacity of 84MW. In this modeling, ther...
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