...
首页> 外文期刊>Smart Grid, IEEE Transactions on >A Hierarchical Power Grid Fault Diagnosis Method Using Multi-Source Information
【24h】

A Hierarchical Power Grid Fault Diagnosis Method Using Multi-Source Information

机译:使用多源信息的分层电网故障诊断方法

获取原文
获取原文并翻译 | 示例
           

摘要

The effective acquisition of multi-source information promotes the development of the multi-source information fusion-based methods for power grid fault diagnosis. These method have addressed the problem of low fault-tolerance for the fault diagnosis using switching information to a certain extent. However, the existing methods increase the complexity of fault diagnosis and weaken the applicability by centrally utilizing multi-source information. Given this background, an effort is made to present a hierarchical power grid fault diagnosis method using multi-source information, which takes into account the use of the switching and electrical information at different stages. The method adopts two layer diagnostic modes. In the first layer mode, the switching information is applied to analyze the proposed multi-objective analytic model. In the second layer mode, the electrical information is employed to construct the electrical criteria of suspicious faulty components, in order to solve the problem of multiple solutions faced by the first layer mode. The hierarchical diagnostic mode enhances the pertinence of fault diagnosis via calling multi-source information by layer, which can improve the accuracy and efficiency of fault diagnosis. Through the method tested under the assumed fault examples, the proposed approach has demonstrated its feasibility and effectiveness for the fault diagnosis application.
机译:有效采集的多源信息促进了基于多源信息融合的电网故障诊断的方法的开发。这些方法已经解决了在一定程度上使用切换信息的故障诊断的低容错的问题。然而,现有方法通过集中利用多源信息来增加故障诊断的复杂性并削弱适用性。鉴于此背景,努力使用多源信息呈现分层电网故障诊断方法,这考虑了在不同阶段的交换和电信息的使用。该方法采用两层诊断模式。在第一层模式中,应用交换信息来分析所提出的多目标分析模型。在第二层模式中,采用电信息来构造可疑故障组件的电气标准,以解决由第一层模式面对的多种解决方案的问题。分层诊断模式通过通过层调用多源信息来增强故障诊断的属性,可以提高故障诊断的准确性和效率。通过在假定的故障示例下测试的方法,所提出的方法已经证明了其故障诊断应用的可行性和有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号