车网电耦合系统异常电现象识别方法

Tao Yang, Fulin Zhou, Feifan Liu, Tengyu Tian, Ruixuan Yang, Jinfei Xiong
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引用次数: 0

摘要

及时准确地识别车网耦合系统的异常电现象是保证车辆安全稳定运行的关键。VGECS的拓扑结构是动态变化的,因此AEP的类型复杂多样,不仅包含单一类型的AEP,还包含复合AEP。目前,VGECS的AEP鉴定方法很少,尤其是复合型AEP鉴定方法。鉴于此,本文提出了一种基于小波包变换和极值梯度增强(XGBoost)的VGECS AEP识别方法。该方法不仅可以识别单一类型的AEP,还可以识别复合型AEP。结果表明,该方法对AEP具有较高的识别精度。同时,该方法具有较好的实时性,能够满足实际工程要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Abnormal Electrical Phenomena Identification Method for Vehicle-grid Electrical Coupling System
The timely and accurate identification of abnormal electrical phenomena (AEP) for vehicle-grid coupling system(VGECS) is critical to guarantee the safe and stable operation of vehicles. The topology of VGECS changes dynamically, hence the types of AEP are complex and varied and the VGECS contains not only the single type AEP, but also the type of compound AEP. At present, there are few identification methods for AEP of VGECS, especially for the compound type AEP. In view of this, a method based on wavelet packet transform and extreme gradient boosting(XGBoost) to identify the AEP of VGECS is proposed in this paper. This method not only identifies the single type AEP, but also enables the identification of compound type AEP. The results show that the proposed method has a high recognition accuracy for AEP. At the same time, the method has good real-time performance, which can meet the practical engineering requirements.
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