Wind speed forecasting method based on fine boundary layer mode for wind farm in complex terrain

Abstract

The invention discloses a wind speed forecasting method based on fine boundary layer figure mode for a wind farm in complex terrain. The method comprises the following steps: acquiring historical wind measuring tower data; converting acquired terrain data of a geological information system and the like into static data which can be directly called by a mesoscale weather forecast mode and the fine boundary layer figure mode; carrying out wind farm localization configuration for the mesoscale weather forecast mode and the fine boundary layer figure mode, so as to achieve optimal mode meteorological environment simulation; and taking the mesoscale weather forecast mode and the fine boundary layer figure mode as main body to build a wind farm wind speed forecasting system, and carrying out dynamically adjustable wind farm wind speed forecasting for areas 500 square kilometers around the wind farm for 3-7 days, wherein the horizontal grid resolution is 100m, and the time interval is 5-15 minutes. According to the invention, as the fine terrain data is introduced, and the fine boundary layer figure mode is adopted for100m-resolution dynamic downscaling forecasting. Therefore, the method is more suitable for wind farm wind speed forecasting under complex terrain conditions.

Description

technical field [0001] The invention belongs to the technical field of wind farms, and in particular relates to a wind speed forecasting method for wind farms. Background technique [0002] The local wind speed of a wind farm under complex terrain conditions is formed by the superposition of atmospheric motion fluctuations of different scales: 1. The seasonal monsoon circulation with a time scale of several months driven by the thermal difference between land and sea is also called large-scale background circulation; 2. Cold fronts, rainstorms, typhoons and other weather processes, the mesoscale weather process circulation with a time scale of several days; 3 local circulation driven by differences in local thermal properties, such as sea and land breeze, valley wind, urban heat island circulation, etc., local circulation Usually has obvious diurnal variation; 4. Due to the dragging and blocking of the airflow by actual rough elements such as trees and buildings, etc., the l...

AI Technical Summary

Problems solved by technology

[0005] Fine boundary layer numerical models have been widely used in the study of urban meteorological environment [15-18] and the field of meteorological environment assessment in urban planning [19-21], but have not been used in the field of wind speed prediction for wind farms

Images