Harmonic source model based on support vector machine

ADVANCES IN NATURAL COMPUTATION, PT 1(2006)

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摘要
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.
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关键词
support vector machine,linear regressive model,new harmonic source model,polynomial kernel,nonlinear regressive model,new model,nonlinear regression,power system,different kernel function,computer simulation,kernel function,linear regression model
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