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首页> 外文期刊>International Journal of Renewable Energy Development >Longitudinal wind speed time series generation to wind turbine controllers tuning
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Longitudinal wind speed time series generation to wind turbine controllers tuning

机译：纵向风速时间序列生成到风力涡轮机控制器调整

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Although there are a wide variety of applications that require wind speed time series (WSTS), this paper emphases on WSTS to be used into wind turbine controllers tuning. These simulations involve several WSTS to perform a proper assessment. These WSTS must assure realistic wind speed variations such as wind gusts and include some rare events such as extreme wind situations. The architecture proposed to generate this WSTS is based on autoregressive models with certain post-processing. The methodology used is entirely described by precise notation as well as it is parametrized by means of data gathered from a weather station. Two main different simulations are performed and assessment; the first simulation is fed by weather data with high wind speed and great variability. The second simulation, on the opposite, use calm wind speed as a data source. Article History : Received 1 st June 2018; Received in revised form Sept 6 th 2018; Accepted October 10 th 2018; Available online How to Cite This Article : González, A.G. and Guede, J.M.L. (2018) Longitudinal Wind Speed Time Series Generated With Autoregressive Methods For Wind Turbine Control.
机译：尽管有各种各样的应用需要风速时间序列（WSTS），但本文着重强调了WSTS可以用于风轮机控制器整定中。这些模拟涉及几个WSTS来执行适当的评估。这些WSTS必须确保现实的风速变化（例如阵风），并包括一些罕见的事件（例如极端风况）。提议生成此WSTS的体系结构基于具有某些后处理功能的自回归模型。所使用的方法完全由精确的符号描述，并且通过从气象站收集的数据进行参数化。进行和评估了两个主要的不同模拟;第一次模拟是由具有高风速和较大可变性的天气数据提供的。相反，第二个模拟使用平静风速作为数据源。文章历史记录：2018年6月1日收到;于2018年9月6日收到修订版; 2018年10月10日接受;在线提供如何引用本文：A.G.González和J.M.L. Guede （2018）用于风力涡轮机控制的利用自回归方法生成的纵向风速时间序列。

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