scholarly journals An Evaluation Method for Harmonic Emission Level Based on Principal Component Regression

2019 ◽  
Vol 21 (5) ◽  
pp. 415-420
Author(s):  
Liang Wang ◽  
Shugang Wang ◽  
Dongliang Wu ◽  
Haihua Liu ◽  
Jie Wang
Keyword(s):  
Evaluation Method ◽  
Principal Component Regression ◽  
Principal Component ◽  
Emission Level ◽  
Harmonic Emission ◽  
Harmonic Emission Level

Assessing the Harmonic Emission Level Based on Partial Least-Squares Regression with Data Envelopment Analysis

2014 ◽  
Vol 989-994 ◽  
pp. 3367-3370
Author(s):  
Xiang Li ◽  
Min You Chen ◽  
Yong Wei Zheng
Keyword(s):  
Data Envelopment Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Accurate Estimation ◽  
Data Envelopment ◽  
Least Squares Regression ◽  
Emission Level ◽  
Harmonic Emission ◽  
Point Of Common Coupling ◽  
Harmonic Emission Level

A novel method is used for assessing the harmonic emission level, which is based on the partial least-squares (PLS) regression with data envelopment analysis (DEA). Based on measuring the harmonic voltage and current at the point of common coupling (PCC) and removing the inefficiency data with DEA, regression coefficients are worked out through partial least-squares algorithm. Consequently the harmonic emission level of customer is calculated.The proposed approach removes the effect of outlying data points and gets accurate estimation results. The simulation results prove that the proposed method is more effective than PLS.

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