Lightning Overvoltage Identification in Distribution Line based on Relevance Vector Machine

被引：0

作者：

Wen Qingfeng ^{[1
,4
]}

Wang Xiaoguang ^{[1
]}

Yu Xiangying ^{[2
]}

Liang Zehui ^{[3
]}

Li Longji ^{[1
]}

Xi Xiaoguang ^{[1
]}

Man Yuyan ^{[1
]}

Zhang Chi ^{[1
]}

机构：

[1] State Grid Tianjin Elect Power Co, Elect Power Res Inst, Tianjin 300384, Peoples R China

[2] Tianjin Elect Power Sci & Technol Dev Co Ltd, Tianjin 300384, Peoples R China

[3] State Grid Tianjin Elect Power Co, Chengnan Power Supply Branch, Tianjin 300201, Peoples R China

[4] State Grid Tianjin Elect Power Res Inst, Tianjin 300384, Peoples R China

来源：

2018 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED) | 2018年

关键词：

induced lightning; back flashover and shield failure; Hilbert-Huang transform; relevance vector machine;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Realizing lightning overvoltage online identification is of great significance to improving the practical of the lightning online monitoring device in the failure analysis. Therefore, a method based on relevance vector machine (RVM) is attempted to be applied to lightning overvoltage identification. The Hilbert-Huang transform method was introduced to analyze the waveform characters of induced lightning, shield failure and back flashover. Characteristic quantity was generated and input into the RVM to construct the intelligent lightning overvoltage identification machine. The method integrated the feature information of lightning overvoltage, and outputted the probabilities of various lightning overvoltage. The PSCAD simulation results demonstrate that, the training time is low and the recognition rate is high. The identification method proposed can be well applied in identification of lightning overvoltage.

引用

页码：1206 / 1210

页数：5

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