基于小波网络的配电网空间数据库故障诊断方法

Fault diagnosis method of distribution network spatial database based on wavelet network

在进行配电网空间数据库建模中,需要对空间数据库进行优化检测和诊断,提高配电网的稳定运行能力,提出基于小波网络的配电网空间数据库故障诊断方法。构建配电网空间数据库的分布模型,采用高维特征分解方法进行配电网空间数据库的特征量化分解,结合小波网络学习方法进行配电网空间数据库故障状态特征提取,根据故障特征的聚类性进行配电网络空间数据库的结构重组和故障特性辨识,结合模糊统计分析方法,实现对配电网空间数据库的故障智能诊断。仿真结果表明,采用该方法进行配电网空间数据库故障诊断的准确性较好,分辨能力较强,提高了配电网空间数据库的稳定性。

In the model of distribution network space database,it is necessary to optimize and diagnose the spatial database.To improve the stability and operation capability of the distribution network,a method for fault diagnosis of the distribution network space database is proposed based on the wavelet network.The distribution model of the distribution network space database is constructed,and the characteristic decomposition of the distribution network space database is carried out by adopting the high-dimensional characteristic decomposition method.The characteristic extraction of the fault state of the distribution network space database is carried out in combination with the wavelet network learning method.According to the cluste-ring property of the fault feature,the structure recombination and fault characteristic identification of the database of the distribution network space are carried out,and the fault intelligent diagnosis of the distribution network space database is realized by combining the fuzzy statistical analysis method.The simulation results show that the fault diagnosis of the distribution network space database is good,the resolving power is strong,and the stability of the distribution network space database is improved.