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电网技术  2015 

基于风电机组输出时间序列数据分群的风电场动态等值

DOI: 10.13335/j.1000-3673.pst.2015.10.016, PP. 2787-2793

Keywords: 风电场动态等值,输出特性一致,输出时间序列数据,几何模板匹配,属性阈值聚类算法

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Abstract:

为了在保证精度的前提下降低含风电场仿真系统模型的复杂度,以风电场并网点输出特性一致为目标,提出一种风电场动态等值方法。利用风电机组输出时间序列数据,应用几何模板匹配算法刻画该时间序列曲线特征,使用属性阈值聚类算法来实现风电机组分群,适用于所选时间序列的时间段内的所有时刻。在各群内,按照风电机组功率输出特性不变的原则对风电机组参数进行等值,以电压差不变为原则对集电线路进行等值。最后,以宁夏某实际风电场为例,分别选择不同时刻的风电机组状态为初值进行仿真,并比较风电场详细模型和等值模型的输出特性。结果表明,等值前后风电场并网点输出特性均保持一致,分群方法可以反映风电机组在该时间段内各时刻的运行特性,等值方法合理有效,具有一定的工程应用价值。

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