风速波动情况下并网风电场内风电机组分组方法

CAO Na; YU Qun

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风速波动情况下并网风电场内风电机组分组方法

更新时间：2025-08-13

- 风速波动情况下并网风电场内风电机组分组方法
- Automation of Electric Power Systems Vol. 36, Issue 2, Pages: 42-46(2012)
- 作者机构：
  
  山东科技大学信息与电气工程学院,山东省,青岛市,266590
- 作者简介：
- 基金信息：
- DOI：
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- Published：2012
- 稿件说明：
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CAO Na, YU Qun. [J]. Automation of electric power systems, 2012, 36(2): 42-46.
DOI：

CAO Na, YU Qun. [J]. Automation of electric power systems, 2012, 36(2): 42-46. DOI：

摘要

以风电机组的分组方法为研究对象，采用风电机组间尾流模型并考虑风向变化对尾流效应的影响，研究了风电机组输入风速的计算方法，提出了风电机组的分组方法。考虑风速、风向随机波动的特点，提出利用三维相关系数矩阵对大型风电场风电机组分组的方法。通过研究表明:在根据风电机组的输入风速是否相同对风电机组分组时，风电场的输入风向是决定风电机组分组的主导因素;利用三维相关系数矩阵可方便查询风速和风向变化时风电机组分组情况，为建立风电场的随机模型，研究风电场的特性打下基础。

Abstract

A grouping method of wind turbines for the power system analysis is presented， based on the coherency analysis of the input wind speeds for individual wind turbines， and the influence of wind direction random change on the wake effect. A 3-dimension of coherency coefficient matrix of wind turbines is used to group turbines in a large wind farm. The research shows that the wind direction is a dominating factor in the grouping method of wind turbines. The wind turbine groups on 3-dimension of coherency coefficient matrix can be easily acquired with the wind speed and direction random fluctuation， which lays the foundation for building stochastic model of wind farms and studying the characteristics of wind farms.

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