郑连清;吴萍;李鹍;

• 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)

摘要(Abstract)：

电力系统中非线性负载的广泛使用使得谐波分析必不可少,其中建立适当的模型来表征谐波源特性尤为重要,结合相关文献综述了现有的各种谐波源模型,并对其建模方法进行了分析、比较。考虑到支持向量机在高维数据模型构建中良好的泛化能力,针对一个低压民用电器整流电路进行Matlab仿真获取训练数据,并用最小二乘支持向量机(leastsquares support vector machine,LS-SVM)建模。结果表明模型输出谐波电流与实际仿真结果基本一致,使用上述方法建立的模型精度高,验证了最小二乘支持向量机是一种有效的谐波源建模方法。

关键词(KeyWords)： 谐波分析;谐波源模型;神经网络;最小二乘支持向量机

Abstract:

Keywords:

基金项目(Foundation): 重庆市科委自然科学基金计划资助项目(2006BB2218)

作者(Author): 郑连清;吴萍;李鹍;

Email:

DOI: 10.13335/j.1000-3673.pst.2010.08.006

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