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SYSTEM AND METHOD OF DETERMINING FORECAST ERROR FOR RENEWABLE ENERGY FLUCTUATIONS

机译:确定可再生能源波动的预测误差的系统和方法

摘要

A system for determining (a) forecast error and/or (b) scaling error for wind power generation is provided, the system utilizing generated and forecast time series for power generation derived from wind and analyzing temporal correlations in the wind fluctuations to quantify: (a) the forecast error defined by deviations between the high frequency components of the forecast and generated time series, and (b) a scaling error defined by a degree that temporal correlations fail to be predicted for an accurate predictor of wind fluctuations. Wind fluctuations may exhibit multi-fractal behavior at the turbine level and/or may be rectified to a fractal structure at the grid level. A memory kernel may be used to reduce the forecast and scaling errors.
机译:提供了一种用于确定(a)用于风力发电的预测误差和/或(b)缩放误差的系统,该系统利用所产生的和预测的时间序列来用于从风力得出的发电并且分析风波动中的时间相关性以量化:( a)由预测的高频分量与生成的时间序列之间的偏差定义的预测误差,以及(b)由无法准确预测风速波动的时间相关性的程度定义的缩放误差。风的波动在涡轮机水平上可能表现出多重分形行为,并且/或者在电网水平上可能被纠正为分形结构。存储器内核可以用于减少预测和缩放误差。

著录项

  • 公开/公告号US2018019595A1

    专利类型

  • 公开/公告日2018-01-18

    原文格式PDF

  • 申请/专利号US201615553117

  • 发明设计人 MAHESH M. BANDI;

    申请日2016-02-23

  • 分类号H02J3/38;G05B17/02;G06F17/17;H02J3;

  • 国家 US

  • 入库时间 2022-08-21 13:02:38

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