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基于多信息融合的智能变电站继电保护隐性故障自动诊断

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针对现有的诊断方法分类准确率低的问题,研究多信息融合的智能变电站继电保护隐性故障自动诊断方法.按照保护动作信息,计算故障引发的线路保护不正确动作,建立距离保护隐性故障概率模型.根据分合闸线圈电流,通过辨识比来提取断路器的故障状态特征.运用霍尔电流元件在线监测电流信号,并对获得的电流信号进行处理.将不同振动信号中的特征信息进行结合,按照特定的融合规则对信息进行加工,完成信息在空间和时间中的填充.运用M维矩阵对特征值进行分解,根据主成分的个数,按照特征的贡献值进行排序,对融合后的特征样本进行计算,确定决策信息.当发生接地故障时,通过保护测量的电压,形成新的零序方向保护.建立规则库来优化样本训练.按照隐性故障造成连锁故障的传播方式,判断相邻支路是否发生误动,切除误动支路,并进行潮流越限检查,根据相位关系判断二次回路状态完成隐性故障自动诊断.实验结果表明,实验组的分类准确率为 100%,为 4 组中最高分类准确率,达到良好的诊断效果,实现了良好应用.
Multiinformation-fusion-based Automatic Fault Diagnosis of Smart Substations Protective Relays
In view of low classification accuracy of currently prevailing diagnostic methods,the present work studied a multiinformation-fusion-based automatic fault diagnosis method for protective relays in smart substations.By calculating fault-induced improper actions of line protection according to protection action information,the hidden fault probability model of distance protection was established.According to opening and closing coil currents,fault state characteristics of circuit breakers were extracted by identification ratio.By using Hall current element,the current signals were online mo-nitored and then processed.The characteristic information of different vibration signals was combined,and the information was processed according to specific fusion rules to complete the filling of information in space and time.The decomposition and sequencing of eigenvalues were realized by using M-dimension matrix and according to number of principal compo-nents,respectively,and the fused feature samples were calculated to determine the decision information.A new zero-se-quence direction protection was formed by protecting the measured voltage when a grounding fault occurs.A rule base was built to optimize sample training.According to the propagation mode of the chain fault caused by the hidden fault,the oc-currence of undesired action in adjacent branches was determined to cut off faulty branches,and the power flow crossing limit check was carried out which enabled hidden faults automatic diagnosis by determining state of secondary circuit ac-cording to phase relationship.The proposed method was preliminarily proved to have satisfactory applicative diagnosis util-ity,as it achieved a classification accuracy of 100%,which is the highest among the four groups.

multiinformation fusionsmart substationprotective relayfault diagnosis

汉景平

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国网伊犁伊河供电有限责任公司,新疆 伊犁 835000

多信息融合 智能变电站 继电保护 故障诊断

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(3)
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