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

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    改進的偏最小二乘法在分析諧波源中的應用

    來源:電工電氣發布時間:2016-03-15 14:15 瀏覽次數:747

    改進的偏最小二乘法在分析諧波源中的應用 

    王富勇,李麗 
    泉州電力技能研究院,福建 泉州 362000 
     

    摘 要: 介紹了改進的偏最小二乘法的基本原理和建模思想,并給出了建模步驟,論證了該方法的合理性。將該方法應用于諧波源識別的分析中,對諧波阻抗和諧波發射水平進行了定量分析,仿真結果表明該方法能夠避免因變量和自變量間多重關系,可以更準確地識別諧波所在側,是電力系統數據建模的一種新方法。
    關鍵詞: 偏最小二乘回歸;改進的偏最小二乘法;方差;相關系數;解釋能力
    中圖分類號:TM712 文獻標識碼:A 文章編號: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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