杜颖;卢继平;李青;邓颖玲;

• 1:输配电装备及系统安全与新技术国家重点实验室(重庆大学)
• 2:甘肃洁源风电有限责任公司
• 3:中国民用航空湛江空中交通管理站

摘要(Abstract)：

提出了一种基于最小二乘支持向量机的风电场风速预测方法。以历史风速数据、气压、温度作为输入,对风速和环境条件进行训练,建立预测模型,并且运用网格搜索法确定模型参数。算例结果表明,使用上述方法预测的风速与真实值基本一致。将本文提出方法与BP(back propagation)神经网络法的预测结果进行对比,表明前者具有更高的精度和更强的鲁棒性,因此是一种比较有价值的风速预测方法。

关键词(KeyWords)： 风力发电;风速预测;最小二乘支持向量机(LS-SVM);网格搜索;BP神经网络

Abstract:

Keywords:

基金项目(Foundation): 国家重点基础研究发展计划项目(973项目)(2004CB217908)。~~

作者(Author): 杜颖;卢继平;李青;邓颖玲;

Email:

DOI:

参考文献(References)：

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