红水河2025,Vol.44Issue(1):100-106,119,8.DOI:10.3969/j.issn.1001-408X.2025.01.021
基于时间序列的含DG配电网故障主动诊断方法
Active Fault Diagnosis Method for Distribution Networks with DG Based on Time Series
摘要
Abstract
In order to improve the accuracy and efficiency of fault diagnosis of distribution network with distributed generation(DG),and effectively deal with the problems of component rejection or misoperation and complex fault frequency fluctuation,an active fault diagnosis method of distribution network with DG based on time series is proposed.By constructing a time series of the overall and protective component actions of the distribution network with DG,the intrinsic time-scale decomposition(ITD)method is used to extract and reconstruct the typical fault characteristics of the distribution network with DG.The fuzzy Petri net is constructed by using the original Petri net and the reconfiguration characteristics of distribution network with DG.The state change of distribution network with DG is analyzed,and the fault signal frequency and trigger condition of distribution network with DG are combined to actively diagnose the fault of distribution network with DG.The results show that the method can adapt to the fault state of distribution network with DG under various conditions,effectively eliminate the interference of component rejection or misoperation,improve the diagnostic accuracy of different types of faults,and has high diagnostic efficiency and robustness.关键词
含DG配电网/故障诊断/时间序列/主动诊断Key words
distribution network with DG/fault diagnosis/time series/active diagnosis分类
信息技术与安全科学引用本文复制引用
赵文飞..基于时间序列的含DG配电网故障主动诊断方法[J].红水河,2025,44(1):100-106,119,8.基金项目
2023年度广西高校中青年教师科研基础能力提升项目(2023KY1447) (2023KY1447)