首页> 外国专利> A METHOD AND AN APPARATUS FOR COMPUTER-IMPLEMENTED PREDICTION OF POWER PRODUCTION OF ONE OR MORE WIND TURBINES IN A WIND FARM

A METHOD AND AN APPARATUS FOR COMPUTER-IMPLEMENTED PREDICTION OF POWER PRODUCTION OF ONE OR MORE WIND TURBINES IN A WIND FARM

机译:一种方法和装置,用于电池中的一个或多个风力涡轮机的电力生产的电力生产预测

摘要

The invention relates to a method for computer-implemented prediction of power production of one or more wind turbines in a wind farm, wherein during the operation of the wind farm the following steps are performed: obtaining first weather forecast data (WF1) for a given first time period (WIN_H), the first weather forecast data (WF1) being historical weather forecast data for the area of the wind farm; obtaining first power production data (PP1) of the wind farm for the given first time period (WIN_H), the first power production data (PP1) being historical power production data of the wind warm resulting from then actual environmental conditions in the area of the wind farm; obtaining second weather forecast data (WF2) for a given second time period (WIN_P), the second weather forecast data (WF2) being future weather forecast data for the area of the wind farm; determining second power production data (PP2) of the wind farm for the second time period (WIN_P) by processing the first weather forecast data (WF1), the first power production data (PP1) and the second weather forecast data (WF2) by a trained data driven model (MO), where the first weather forecast data (WF1), the first power production data (PP1) and the second weather forecast data (WF2) are fed as a digital input to the trained data driven model (MO) and the trained data driven model (MO) provides the second power production data (PP2) as a digital output, the second power production data (PP2) being a prediction of power production of the wind farm for the second time period (WIN_P).
机译:本发明涉及一种用于风电场中的一个或多个风力涡轮机的电力生产的计算机实现预测方法,其中在风电场的操作期间执行以下步骤:获得给定的第一天气预报数据(WF1)第一次(Win_h),第一天气预报数据(WF1)是风电场区域的历史天气预报数据;获取给定的第一次段(Win_h)的风电场的第一电源生产数据(PP1),第一电源生产数据(PP1)是风温度的历史电力生产数据,由此产生的历史电力生产数据在此处的实际环境条件下风电场;获得第二次时间段(Win_P)的第二天气预报数据(WF2),第二天气预报数据(WF2)是风电场区域的未来天气预报数据;通过处理第一天气预报数据(WF1),第一电源生产数据(PP1)和第二天气预报数据(WF2)来确定第二次时间段(Win_P)的第二个电源场的第二电源生产数据(PP2)训练有素的数据驱动模型(MO),其中第一天气预报数据(WF1),第一电源生产数据(PP1)和第二天气预报数据(WF2)被馈送为训练的数据驱动模型(MO)的数字输入训练有素的数据驱动模型(MO)将第二电源生产数据(PP2)提供为数字输出,第二电源生产数据(PP2)是第二次(Win_P)的风电场的电力生产的预测。

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