With the large-scale and rapid development of wind power in China, the accuracy of wind power prediction is asked for higher. So how to improve the accuracy of numerical weather prediction models which forecast wind has become an important and critical issue. That the accuracy of numerical prediction models as well as the bias of background data is main cause why generate simulated error. This paper attempted to employ the advanced WRF model to simulate the low-level wind in arid region of northwest China, and then evaluated the impact size that using FNL and GFS background data. The results show that using FNL and GFS data simulated wind is very close. It is found that simulation results driven by the FNL assimilated data are worse sometimes. Consequently, we can conclude that FNL assimilated data as well as GFS forecast data are close and the assimilation of FNL data is still need to improvement in northwest China.
This paper describes a wind power monitoring software design ideas, and its design focus is the client software monitoring platform for wind farm monitoring. In this paper, for the characteristics and requirements of the wind turbine monitoring system, it involved the design of the wind farm monitoring software design architecture, the design of the monitoring system to achieve real-time display of wind turbine production data, alarms, historical data storage and query, report generation and other operations, achieve the production site for real-time monitoring of wind turbines.
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