Average wind direction calculation method based on probability statistics

Abstract

The present invention relates to the field of wind power generation and provides an average wind direction calculation method based on probability statistics so that the staff can quickly and accurately determine the average wind direction for a certain period of time. The steps of the method are summarized as follows: a wind direction practically measured in a certain period of time is subjected to probability statistics according to 16 wind direction sectors, the center wind direction value corresponding to the wind direction sector of the maximum generation probability is taken as the average wind direction of the time and the unreasonable average wind direction is corrected. The method is applicable to a design unit engaged in wind power plant engineering design.

Description

technical field [0001] The invention relates to the field of wind power generation, in particular to a method for calculating the average wind direction based on probability statistics. Background technique [0002] 1. Explanation of terms [0003] ⑴Wind direction: the direction the wind blows. The recording interval of the wind direction data measured by the wind measuring tower is generally 10 minutes, that is, the data is saved once every 10 minutes, and the unit is generally used (°). [0004] ⑵Azimuth: Direction position. The 360°circle is divided into 16 wind direction sectors at intervals of 22.5°, and each sector corresponds to an azimuth, namely: N (true north), NNE (north-northeast), NE (northeast), ENE (northeast East), E (due east), ESE (east by southeast), SE (southeast), SSE (south southeast), S (due south), SSW (south southwest), SW (southwest), WSW (southwest West), W (Due West), WNW (West by Northwest), NW (Northwest), (NNW North by Northwest). [0005]...

AI Technical Summary

Problems solved by technology

However, in actual engineering, the quality of wind tower data is difficult to guarantee, mainly in the following aspects:

[0009] ①In high-altitude mountainous wind farms, affected by freezing and other factors, the wind measurement equipment will malfunction or stop measuring, resulting in a large number of missing or unreasonable data in the wind measurement data, which must be interpolated and replaced by missing or unreasonable data

[0024] ①Under normal circumstances, due to the limitation of the number of electronic dogs, only one person and one task can be operated in the actual engineering application process, which seriously affects the work efficiency

In addition, if the designer is engaged in a foreign project, limited by the electronic dog, it is difficult to realize on-site office work

[0025] ② Strictly speaking, the vector averaging method only performs hourly averaging from the perspective of the physical meaning of the wind direction (that is, the wind direction is a vector), without considering other external factors such as air temperature, air pressure, terrain, equipment, etc. that affect the measured value of the wind direction. There is a certain deviation between the calculated hourly average wind direction and the actual wind direction

[0026] To sum up, regardless of manual processing or software processing, the calculation of the hourly average wind direction will generate a large amount of unreasonable data, and both processing methods separate the calculation of the hourly average wind direction from the unreasonable data inspection, namely Sequential process (calculate first, then verify), which is time-consuming and labor-intensive, with a large workload

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