基于小波去噪和BA-SVM的小电流接地系统故障选线方法

Fault Line Selection Method for Small Current Grounding System Based on Wavelet Denoising and BA-SVM

针对小电流接地系统的故障选线问题,提出一种基于小波去噪和BA-SVM的诊断方法。该方法将系统零序电流经过小波去噪处理得到特征值,输入SVM模型进行训练和测试,最终得到故障选线结果。针对SVM算法的参数选取问题,使用蝙蝠算法进行优化,提高算法的准确率和效率。采用Matlab仿真35 kV算例,验证该方法的有效性和实用性。

Aiming at the fault line selection of small current grounding system, a new diagnosis method based on wavelet transform and improved SVM is proposed.In this method,the zero sequence current of the system is processed by wavelet denoising to get a series of characteristic values,and then it is input into the SVM model for training and testing.Finally,the result of fault line selection is obtained.In order to improve the accuracy and efficiency of the algorithm,the bat algorithm is used to optimize the parameters of the algorithm.The effectiveness and practicability of the method is verified by the Matlab simulation of 35 kV case.