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    ULTRA-SHORT-TERM FORECASTING METHOD INCLUDING REAL-TIME MONITORING OF THE EFFECT OF UPPER AND LOWER COURSES
    3.
    发明申请
    ULTRA-SHORT-TERM FORECASTING METHOD INCLUDING REAL-TIME MONITORING OF THE EFFECT OF UPPER AND LOWER COURSES 审中-公开
    超短期预测方法，包括实时监测上，下课程的影响

    公开(公告)号：US20150039228A1

    公开(公告)日：2015-02-05

    申请号：US14378358

    申请日：2013-02-06

    申请人： STATE GRID CORPORATION OF CHINA ,  GANSU ELETRIC POWER CORPORATION ,  GANSU ELETRIC POWER CORPORATION WIND POWER TECHNOLOGY CENTER

    发明人： Ningbo Wang ,  Liang Lu ,  Zhaorong Li ,  Guangtu Liu ,  Long Zhao ,  Tiejun Zhang ,  Dingmei Wang ,  Ming Ma ,  Yanhong Ma ,  Xiaoxia Li

    IPC分类号： G01W1/02

    CPC分类号： G01W1/02 ,  G01W1/00 ,  G01W1/10 ,  Y02A90/14

    摘要： An ultra-short-term forecasting method including real-time monitoring of the effect of upper and lower courses, comprising: obtaining ultra-short-term model forecast results through the model lattices based on the T639 global spectral model course library data source, the CALMET wind field diagnostic model and static data; establishing statistical equations on the effect of upper and lower courses between the corresponding reference index station and each target wind tower for obtaining the effect of upper and lower courses of the target wind towers based on the wind tower database of the target wind power base and combined with the wind direction and speed real-time monitoring data of the reference index stations in the upper and lower courses, forecasting the ultra-short-term wind speed changes of each target wind tower and correct combined with the ultra-short-term model forecast results to form forecasting of the ultra-short-term wind speed changes of the wind towers in the target wind power base; after repeated cycling, obtaining forecasting of the future ultra-short-term wind speed changes of the wind farms in the target wind power base at all altitudes in the target area. The forecasting method has high forecasting precision, good prediction accuracy and wide application range.

    摘要翻译： 一种超短期预报方法，包括实时监测上下课程的影响，包括：通过基于T639全局光谱模型课程库数据源的模板获取超短期模型预测结果， CALMET风场诊断模型和静态数据; 根据目标风力发电基地的风塔数据库，建立相应的参考指标站和每个目标风塔之间上下航道效应的统计方程，以获得目标风塔上下航道的影响 随着风向和速度实时监测上下游参考指标站的数据，预测每个目标风塔的超短期风速变化，并结合超短期模型预测 结果对目标风力发电基地风塔的超短期风速变化进行预测; 经过反复循环，获得目标区域各高度目标风力发电基地风电场未来超短期风速变化的预测。 预测方法预测精度高，预测准确性好，应用范围广。