基于数字孪生的配电网局部异常因子故障辨识仿真  

Fault Identification Simulation of Distribution Network Based on Digital Twin with Local Abnormal Factors

作　　者：梁海生 LIANG Haisheng(State Grid Shanghai Electric Power Company Economic and Technical Research Institute,Shanghai 200002,China)

机构地区：[1]国网上海市电力公司经济技术研究院,上海200002

出　　处：《电气传动》2024年第7期66-72,共7页Electric Drive

基　　金：国家电网公司科技项目(521304170028)。

摘　　要：为进一步提高对配电网局部异常因子故障辨识的精度,提出基于数字孪生的配电网局部异常因子故障辨识仿真。通过实时获取配电网运行电气参数并进行预处理,以此为基础提取基于时间序列的故障特征量列矩阵,使用多维标度分析(MDS)方法从降维处理后的故障特征中检测出配电网异常物理节点,再根据配电网网络拓扑得到异常物理节点对应的故障区段,最后结合局部异常因子(LOF)算法计算各物理节点所对应的局部异常因子值,从而获取故障诊断结果,完成对配电网故障的精准辨识。仿真结果表明,运用该方法可以实现对配电网故障的精准辨识。In order to further improve the accuracy of fault identification of local abnormal factors in distribution network,a digital twin based fault identification simulation of local abnormal factors in distribution network was proposed.Through real-time acquisition of electrical parameters of distribution network operation and preprocessing,the fault feature matrix based on time series was extracted,and the multidimensional scaling(MDS)method was used to detect the abnormal physical nodes of distribution network from the reduced dimension fault features.Then,the fault section corresponding to the abnormal physical nodes was obtained according to the distribution network topology.Finally,the local abnormal factor value corresponding to each physical node was calculated with local outlier factor(LOF)algorithm,so as to obtain the fault diagnosis results and complete the accurate identification of distribution network faults.The simulation results show that the proposed method can achieve accurate identification of distribution network faults.

关 键 词：数字孪生 配电网 故障辨识 局部异常因子 运行特征分析 

分 类 号：TM726[电气工程—电力系统及自动化]