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基于支持向量机的配电网过电压模式识别(英文)
被引:4
作者:
杜林
戴斌
司马文霞
机构:
[1] The State Key Laboratory of Power Transmission Equipment & System Security and New Technology
[2] College of Electrical Engineering
[3] Chongqing University
来源:
关键词:
support vector machine;
distribution network;
internal overvoltage;
external overvoltage;
type identification;
zero sequence voltage;
D O I:
10.13336/j.1003-6520.hve.2009.03.038
中图分类号:
TM86 [过电压及其防护];
学科分类号:
080803 ;
摘要:
The internal and external overvoltage in distribution networks is the main reason of accidents. Based on overvoltage data in distribution network recorded by overvoltage on-line monitoring system, this paper analyzes the characteristics of zero sequence voltage waveform. The maximum amplitude and RMS value of zero sequence voltage, the minimum RMS of low frequency component of three phase voltage in stable range and other five parameters are selected as characteristic parameters to identify internal and external overvoltage. According to the operation data and record, all overvoltage data recorded by on-line monitoring system were labeled as internal or external overvoltage and the discrimination function is constructed by support vector machine method. The test results of field acquired overvoltage data indicate that the identification parameters and method based on the zero sequence voltage and support vector machine (SVM) are correct and effective.
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页码:521 / 526
页数:6
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