Suzhou Electric Appliance Research Institute
期刊号: CN32-1800/TM| ISSN1007-3175

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改进的偏最小二乘法在分析谐波源中的应用

来源:电工电气发布时间:2016-03-15 14:15 浏览次数:714

改进的偏最小二乘法在分析谐波源中的应用 

王富勇,李丽 
泉州电力技能研究院,福建 泉州 362000 
 

摘 要: 介绍了改进的偏最小二乘法的基本原理和建模思想,并给出了建模步骤,论证了该方法的合理性。将该方法应用于谐波源识别的分析中,对谐波阻抗和谐波发射水平进行了定量分析,仿真结果表明该方法能够避免因变量和自变量间多重关系,可以更准确地识别谐波所在侧,是电力系统数据建模的一种新方法。
关键词: 偏最小二乘回归;改进的偏最小二乘法;方差;相关系数;解释能力
中图分类号:TM712 文献标识码:A 文章编号:1007-3175(2013)05-0039-04


Application of Improved Partial Least Squares Regression in Harmonic Source Analysis 

WANG Fu-yong, LI Li 
Quanzhou Electric Technical Research Institute, Quanzhou 362000, China 
 

Abstract: Introduction was made to the basic principle and modeling thought of the improved partial least squares regression method and the steps of modeling were given. This paper demonstrated the rationality of this method and used the method to analyze harmonic source discrimination, carrying out quantitative analysis of harmonic impedance and emission level. Simulation result shows that this method could avoid the multirelation between dependent variables and independent variables and identifies the locality side of harmonics more correctly. It is a new method for modeling data of electric system.
Key words: partial least squares regression; improved partial least squares regression; variance; correlation coefficient; explanatory ability


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