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A wind farm microscopic intelligent distribution method

A wind farm and intelligent technology, applied in the field of microscopic intelligent deployment of wind farms, can solve the problems of determining the position of the wind turbine, inaccurate wind turbine location selection, and the failure of the wind turbine to achieve the expected effect, and achieve the effect of improving accuracy

Active Publication Date: 2019-02-01
HOHAI UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

Most of the current research methods only focus on flat terrain, and often confuse complex terrain with flat terrain when selecting sites. For complex terrain such as mountains and hills, the location of wind turbines cannot be simply determined according to the principle of flat terrain. Many researchers have not Before the layout of the wind turbines, the research area was divided into flat terrain and complex terrain, and different site selection principles were selected for different terrains, resulting in inaccurate site selection for wind turbines, and the actual work of the wind turbines failed to achieve the expected results

Method used

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  • A wind farm microscopic intelligent distribution method
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  • A wind farm microscopic intelligent distribution method

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Embodiment Construction

[0051] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0052] Such as figure 1 As shown, the present invention designs a microcosmic intelligent deployment method for wind farms, which is used to realize the deployment operation of wind farms in target areas, including the following steps:

[0053] Step A. Using the mean change point analysis method to obtain the first optimal size window, and based on the first optimal size window, for the original DEM data image of the target area, obtain the topographic relief data of the target area and the topographic slope data of the target area, Then go to step B.

[0054] In actual application, the above-mentioned step A specifically includes the following steps:

[0055] Step A1. Based on each preset size window, use the spatial analysis module in the ArcMap application to obtain the terrain relief of each window position in the ...

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Abstract

The invention relates to a wind farm microscopic intelligent distribution method. Firstly, DEM is used to generate gradient and undulation. The terrain can be divided into flat and complex terrain according to the combination of gradient and undulation. Then, according to the two terrains, individualized analysis and design are carried out, and the fan distribution scheme corresponding to different terrain is constructed. The method is intelligent for the whole process of wind farm microscopic distributor, without manual decision-making, and improves the accuracy of wind turbine layout, and atthe same time, the best distributor location is selected quickly and simply.

Description

technical field [0001] The invention relates to a microcosmic intelligent deployment method for a wind farm, which belongs to the field of terrain classification and the technical field of geoscience site selection. Background technique [0002] Energy is a material resource that can provide energy, and wind energy is one of such natural energy sources. Wind energy is a conversion form of solar energy on the earth, and it is a renewable energy source that does not produce any pollution emissions. Wind power has great development prospects in the utilization of renewable energy, and the site selection of wind farms, as the preliminary project of wind farm construction projects, plays a vital role in the success or failure of wind farm construction and its future benefits. Therefore, with the development of wind power generation technology, the research on wind farm site selection becomes more and more important. [0003] The micro-site selection of wind farms is the process...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06Q50/06
CPCG06F30/18G06F30/20G06Q50/06Y02E40/70Y04S10/50
Inventor 葛莹李均凯高海峰鲍倩
Owner HOHAI UNIV
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