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Harmonic Source Model Based on Support Vector Machine

  • Li Ma
  • Kaipei Liu
  • Xiao Lei
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4221)

Abstract

To analyze the harmonics in power system efficiently, a new harmonic source model is proposed in this paper. And this new model takes advantage of support vector machine (SVM) theory to find the relationship between the harmonic current and all voltage components. Then a comparison between the linear regressive model and nonlinear regressive models with different kernel functions has been made. The computer simulation has revealed that the model implemented by the nonlinear regression with Polynomial kernel is more precise, and is superior to other regressions.

Keywords

Support Vector Machine Power System Support Vector Regression Testing Error Polynomial Kernel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Li Ma
    • 1
  • Kaipei Liu
    • 1
  • Xiao Lei
    • 1
  1. 1.School of Electrical EngineeringWuhan UniversityWuhanChina

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