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智能牵引变电所配电网故障定位及识别研究

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针对配电网结构的复杂性、设备的多样性和运行环境的不确定性及保护方法优化的需求,提出了一种智能牵引变电所配电网故障定位及识别方法,通过深入研究智能牵引变电所配电网故障定位及识别方法,并进行对比试验。结果表明,基于多维尺度分析和局部异常因子检测相结合的配电网故障定位算法,以及采用小波变换与支持向量机融合技术进行配电网故障类型识别的方法,能精确定位配电网故障区域并准确识别故障类型,从而提高供电的可靠性。
Research on Fault Localization and Identification of Distribution Network in Intelligent Traction Substation
In view of the complexity of distribution network structure,the diversity of equipment,the uncertainty of operating environment and the need for optimization of protection methods,a fault location and identification method of distribution network of intelligent traction substation is proposed.Through in-depth research on fault location and identification method of distribution network of intelligent traction substation,and comparative tests are carried out.The results show that the distribution network fault location algorithm based on multi-dimensional scaling analysis and local anomaly factor detection and the method of distribution network fault type identification using wavelet transform and support vector machine fusion technology can accurately locate the distribution network fault area and accurately identify the fault type,so as to improve the reliability of power supply.

intelligent traction substationdistribution networkfault localizationfault identification

赵蔓、张健

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山西大学,太原 030031

传奇电气(沈阳)有限公司,沈阳 110136

智能牵引变电所 配电网 故障定位 故障识别

2025

工程建设与设计
国家机械工业局工程建设中心 中国机械工业勘察设计协会 中国中元国际工程公司

工程建设与设计

影响因子:0.494
ISSN:1007-9467
年,卷(期):2025.(1)