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Investigation of wind resource characteristics in mountain wind farm using multiple-unit SCADA data in Chenzhou: A case study

机译:基于multiple单元SCADA数据的山区风电场风资源特征调查-以个案为例

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摘要

Wind resource characteristics in a mountain wind farm is more complicated and changeable than that in a flat wind farm due to the influence of complex mountain terrain-topography on air flow. Although there have been a large number of investigations on wind resource characteristics, the local wind resource characteristics in a mountain wind farm are still a lack. To fill this knowledge gap, high-resolution wind data are extracted for investigating from multiple-unit SCADA data, that is, wind data are collected from four selected wind turbines with SCADA system, which means wind data are from four different locations. For each location, more than thirty million sets of wind data are extracted for investigation in 2015. Then, several kinds of probability density functions (PDFs) are compared, and one-dimensional and multidimensional kernel density estimation method is selected for the investigation of the frequency distribution. Data preprocessing methods of both wind speed and wind direction are also presented. Finally, the results of this investigation reveal the specific change characteristics of wind speed and wind direction in the investigated mountain wind farm. Yearly mean wind speeds for four different locations are 3.8 m/s, 5.1 m/s, 5.4 m/s and 5.6 m/s, respectively. (C) 2017 Elsevier Ltd. All rights reserved.
机译:由于复杂的山地地形对气流的影响,山区风电场的风资源特性比平坦风电场的风资源特性更加复杂和多变。尽管对风能特性进行了大量研究,但仍然缺乏山区风电场的当地风能特性。为了填补这一知识空白,从多单元SCADA数据中提取高分辨率风数据以进行调查,也就是说,从装有SCADA系统的四个选定风机中收集风数据,这意味着风数据来自四个不同的位置。 2015年,每个位置都提取了三千万套风数据用于调查。然后,比较了几种概率密度函数(PDF),并选择了一维和多维核密度估计方法来进行风能调查。频率分布。还介绍了风速和风向的数据预处理方法。最后,这项调查的结果揭示了所调查的山区风电场的风速和风向的特定变化特征。四个不同位置的年平均风速分别为3.8 m / s,5.1 m / s,5.4 m / s和5.6 m / s。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy Conversion & Management》 |2017年第9期|378-393|共16页
  • 作者单位

    Hunan Univ Sci & Technol, Sch Electromech Engn, Xiangtan 411201, Peoples R China|Newcastle Univ, Sch Marine Sci & Technol, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England;

    Hunan Univ Sci & Technol, Sch Electromech Engn, Xiangtan 411201, Peoples R China;

    Newcastle Univ, Sch Marine Sci & Technol, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England;

    Hunan Univ Sci & Technol, Sch Electromech Engn, Xiangtan 411201, Peoples R China;

    XEMC Windpower Co Ltd, Xiangtan 411000, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wind resource assessment; Mountain wind farm; SCADA data; Frequency distribution;

    机译:风资源评估;山地风电场;SCADA数据;频率分布;
  • 入库时间 2022-08-18 00:22:51

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