基于支持向量机的棒-板空气间隙击穿电压预测方法及其应用

doi:10.19595/j.cnki.1000-6753.tces.160403

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Abstract

There is a multidimensional nonlinear relationship between the breakdown voltage of air gap and the electric field distribution features before discharge inception.In order to predict the breakdown voltage of air gap,taking the electric field feature set as input,and whether the gap will breakdown under the applied voltage as output,the breakdown voltage prediction model was established by support vector classifier(SVC).Since the breakdown characteristics of air gap in an extremely non-uniform electric field are affected by corona,two correction methods were proposed.The training sample data affected by corona were added to improve the generalization performance of the prediction model.Alternatively,based on the idea of “corona cloud”,the electric field distribution was calculated secondly and the electric field features were extracted again,so as to modify the input features of the prediction model.The modified model was used to predict the power frequency breakdown voltage of rod-plane gap in extremely non-uniform electric field and the switching impulse discharge voltage of long rod-plane air gap.The predicted results are in good agreement with the experimental values.This method is conducive to decrease test work and reduce cost.

Key words： Rod-plane air gap extremely non-uniform electric field breakdown voltage support vector machine electric field features corona layer

Received: 25 March 2016 Published: 25 October 2017

PACS:

TM85

Corresponding Authors: 中国博士后科学基金资助项目(2016M602354)。

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	Qiu Zhibin
	Ruan Jiangjun
	Huang Daochun
	Shu Shengwen

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Qiu Zhibin,Ruan Jiangjun,Huang Daochun等. Breakdown Voltage Prediction Method of Rod-Plane Air GapsBased on Support Vector Machine and Its Applications[J]. Transactions of China Electrotechnical Society, 2017, 32(19): 220-228.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.160403 OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I19/220

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