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Evaluation of simple wind power forecasting methods applied to a long-term wind record from Scotland

机译:评估简单风能预测方法在苏格兰的长期风向记录中的应用

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摘要

We present an analysis of the ability to predict the power output from a nominal wind turbine or wind farm a few hours ahead using only locally available data – either the current and recent wind speed or power output. A third method combines the current state with knowledge of the long-term climatology. The wind speed data were taken from a 46-year long record of hourly readings at a Scottish coastal site and converted to power output and electricity production using a generic wind turbine power curve. The wind speed data or the calculated power output at a given time were used to predict the output a few hours ahead, either using persistence, a linear model, or a model based on the mean daily cycle extracted from the long-term record. Since many wind farm operators base their forecast on current wind speed or output measures alone, this analysis will provide some quantification of the quality of this approach, either to help them plan their operation or be able to put these simple methods in quantitative context of more complex methods.
机译:我们仅使用本地可用数据(当前和最近的风速或功率输出),就可以预测提前几个小时从标称风力涡轮机或风电场输出的功率的能力进行分析。第三种方法将当前状态与长期气候知识相结合。风速数据取自苏格兰沿海站点每小时46年的长期记录,并使用通用风力涡轮机功率曲线转换为功率输出和电力生产。使用持久性,线性模型或基于从长期记录中提取的平均每日周期的模型,可以使用风速数据或给定时间的计算出的功率输出提前几个小时来预测输出。由于许多风电场运营商的预测仅基于当前风速或输出指标,因此该分析将对这种方法的质量提供一定的量化,以帮助他们计划运营或将这些简单的方法用于更多的定量研究中。复杂的方法。

著录项

  • 作者

    Fruh Wolf-Gerrit;

  • 作者单位
  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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