不停电作业下中低压配电网接地故障自动诊断研究

Research on Automatic Diagnosis of Grounding Fault in Medium and Low Voltage Distribution Network under Uninterrupted Operation

为了提升配电网接地故障诊断的准确性,提出不停电作业下中低压配电网接地故障自动诊断方法。提取中低压配电网接地零序电流特征量,对其进行预处理;将特征量作为故障类型输入小波神经网络,通过小波神经网络训练,输出接地故障诊断结果。仿真实验结果表明,该方法可以在不停电状态下有效诊断中低压配电网接地故障,诊断精度高于99%。

In order to improve the accuracy of grounding fault diagnosis in distribution network,an automatic diagnosis method of grounding fault in medium and low voltage distribution network under uninterrupted operation is proposed.The characteristic quantity of zero sequence grounding current in medium and low voltage distribution network is extracted and preprocessed.The characteristic quantity is input into wavelet neural network as the fault type,and the grounding fault diagnosis result is output through wavelet neural network training.The simulation results show that this method can effectively diagnose the grounding fault of medium and low voltage distribution network without power failure,and the diagnosis accuracy is higher than 99%.