A wind field simulation method in extremely arid regions based on wrf

A technology of 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 low simulation accuracy, poor simulation accuracy, and small scope of application
CN103514328BActive Publication Date: 2016-07-06STATE GRID CORP OF CHINA +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID CORP OF CHINA
Publication Date
2016-07-06

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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.
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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, time...

Claims

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