基于改进小波包分解的电力系统继电保护回路故障诊断方法

Fault diagnosis method for power system relay protection circuit based on improved wavelet packet decomposition

常规的保护回路故障诊断方法以故障特征信息分析为主,受到噪声干扰,故障诊断结果存在一定的失准问题。为了解决这一问题,文章设计了一种基于改进小波包分解的电力系统继电保护回路故障诊断方法。所提方法首先提取电力系统继电保护回路故障波形特征,将继电保护回路故障区段的非平稳信号提取出来,以确保后续故障诊断的准确性;然后基于改进小波包分解构建保护回路故障诊断模型,通过堆叠、重构等形式,生成更加准确的故障诊断分量;最后优化模型,求解电力系统继电保护诊断模型分支系数,以使其满足故障诊断的精度需求。仿真结果表明,该方法的故障诊断准确性更高,能够应用于实际工程中。

The conventional fault diagnosis methods for protection circuits mainly rely on the analysis of fault characteristic information.However,due to noise interference,there is a certain degree of inaccuracy in the fault diagnosis results.To address this issue,a fault diagnosis method for power system relay protection circuits based on improved wavelet packet decomposition is designed in this paper.Firstly,the waveform characteristics of the fault in the power system relay protection circuit is extracted,and the non-stationary signals in the fault section of the relay protection circuit is also extracted to ensure the accuracy of subsequent fault diagnosis.Then,based on the improved wavelet packet decomposition,a fault diagnosis model for the protection circuit is constructed,and more accurate fault diagnosis components are generated through stacking,reconstruction,and other forms.Finally,to optimize the model,the branch coefficients of the power system relay protection diagnosis model are solved to meet the accuracy requirements of fault diagnosis.The simulative results show that this method has higher accuracy in fault diagnosis and can be applied in practical engineering project.