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Method for simulating wind field of extreme arid region based on WRF

A technology for wind field simulation and wind energy simulation, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as small application range, poor simulation accuracy, and low simulation accuracy

Active Publication Date: 2014-01-15
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0007] In the process of realizing the present invention, the inventor found that there are at least defects such as low simulation accuracy, poor simulation accuracy and small application range in the prior art

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  • Method for simulating wind field of extreme arid region based on WRF

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Embodiment Construction

[0062] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0063] For the problems existing in the prior art, according to the embodiment of the present invention, such as figure 1 As shown, a WRF-based wind field simulation method in extremely arid regions is provided. Using the current mainstream forecast model WRF, different configurations are made for the parameterization of the boundary layer and the parameterization of the land surface process, which are more important in the near-surface wind speed simulation. In order to obtain a better set of configuration schemes for wind field simulation in extremely arid regions; on this basis, local parameter optimization is carried out to improve the prediction accuracy of wind...

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Abstract

The invention discloses a method for simulating a wind field of an extreme arid region based on WRF. The method comprises the steps: (1), selecting a mode parameter optimization scheme set of different ground floors, land process and planet boundary layers having great influence on simulation of the boundary layer wind field, comparing the mode parameter optimization schemes, and selecting the most suitable mode parameter optimization scheme for wind energy simulation, (2), carrying out the wind energy simulation of a wind filed of an extreme arid region to be detected within the preset duration according to the mode parameter optimization scheme obtained in the step (1), and (3), obtaining a wind field simulation configuration scheme suitable for the extreme arid region to be detected according to the wind energy simulation result obtained in the step (2). The method for simulating the wind field of the extreme arid region based on the WRF can overcome the defects that simulation accuracy is low, simulation correctness is poor and the application range is small in the prior art, and has the advantages of high simulation accuracy, good simulation correctness and large application range.

Description

technical field [0001] The invention relates to the technical field of meteorological wind energy forecasting, in particular to a WRF-based wind field simulation method in extremely arid regions. Background technique [0002] In recent years, the wind power industry has developed rapidly in my country, and a large number of large-scale wind turbines have been connected to the grid, which urgently requires my country to develop independent wind power technology. The wind energy forecasting system is an important technology for wind power production arrangement and grid integration of wind turbines, which requires special attention. [0003] So far, there are two types of forecasting methods for wind: statistical and dynamical forecasting, and the statistical class is mainly to establish time series model forecasting and seek correlation. They are both forecasting methods based on probability and mathematical statistics. Modern statistical methods such as Kalman-filters (Kalm...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCY02E60/00
Inventor 汪宁渤张健美何世恩马彦宏赵龙周强马明刘光途王定美路亮吕清泉王小勇黄蓉丁坤李津周识远张金平
Owner STATE GRID CORP OF CHINA
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