Anemometer tower arrangement scheme determination method based on neural network algorithm

Abstract

The invention discloses an anemometer tower arrangement scheme determination method based on a neural network algorithm, relates to the technical field of wind power generation, and provides a wind measurement tower arrangement scheme determination method which is beneficial to making the positions and the number of wind measurement towers in a wind field to be established more reasonable. The method comprises the following steps that A, the range of a wind power plant to be built and the position of each wind turbine set are determined; B, selecting the position of a first anemometer tower; C, selecting a certain built wind power plant near the planned wind power plant or similar to the terrain of the planned wind power plant, and reading and arranging the data of the built wind power plant; D, fitting the built neural network of the wind power plant to obtain a trained neural network model; E, neural network prediction of the planned wind power plant; And F, designing an arrangementscheme of the anemometer tower. The algorithm and the standard for determining the anemometer tower arrangement scheme are provided, it can be avoided that the anemometer tower arrangement scheme is excessively determined and influenced by human factors, misjudgment is avoided, and the positions and the number of the anemometer towers to be built in the wind field can be accurately determined.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a method for determining an anemometer tower layout scheme based on a neural network algorithm. Background technique [0002] At present, the commonly used method for wind energy resource assessment of wind farms is to set up wind measuring towers in the site area, and use wind energy resource assessment software (WT, Windsim, wasp, etc.) The distribution of wind energy resources and the calculation of power generation. The wind tower data is used as the basic data, and the wind tower setting scheme directly affects the accuracy of the wind energy resource assessment of the entire wind farm, which in turn affects the accuracy of the wind power project's power generation calculation. [0003] The setting scheme of wind measuring towers involves the number and location of wind measuring towers. For the development of wind farms, the setting of wind measuring towers s...

AI Technical Summary

Problems solved by technology

Its main disadvantages are as follows: it is greatly affected by human factors, there is no unified standard, and the distance range that the wind measuring tower can represent should be quite different for different terrain conditions. Using the engineering experience of the designer, it is easy to cause misjudgment

[0008] (2) The phenomenon that the wind measuring tower is only representative for some positions

[0009] To sum up, there is a big risk in choosing the layout plan of the wind measuring tower by the designer based on engineering experience, which directly leads to the insufficient representativeness of the wind measuring tower, which in turn affects the accuracy of the wind energy resource assessment of the wind farm, resulting in low-efficiency units in the wind farm. the emergence of

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