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文章摘要
基于多源数据及多维故障诊断空间的快速智能电网故障诊断方案
Fast smart grid fault diagnosis scheme based on multi-source data and multi-dimensional fault diagnosis space
Received:February 28, 2020  Revised:February 28, 2020
DOI：DOI: 10.19753/j.issn1001-1390.2022.10.021
中文关键词: 多源数据，故障编码，概率神经网络，信息畸变，误动，拒动，电网故障诊断
英文关键词: 
基金项目:
Author NameAffiliationE-mail
Weicongcong Shanghai University of Electric Power 2567669863@qq.com 
Deng Xiangli* Shanghai University of Electric Power 631236110@qq.com 
Jia Shenghao Jiangsu Xingli Construction Group Co., Ltd. supervision consulting branch 2409495363@qq.com 
Fang Liuyuan College of Electrical Engineering，Guizhou University 1592410842@qq.com 
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中文摘要:
      针对目前的电网故障诊断算法难以兼顾实时性和全面性，导致其无法满足调度实用化需求的问题，提出一种利用多源数据进行故障诊断的快速智能诊断方案。首先通过故障编码技术将遥信数据映射到故障诊断空间，形成故障编码集；然后针对仅用开关量数据的缺陷，提出利用广域量测系统（WAMS）中的电气量信息对故障编码进行修正和补充。接着将带标签的故障编码输入概率神经网络（PNN）进行训练，构造PNN分类模型。最后通过构造故障分析模块对保护和断路器误动、拒动情况进行分析，形成综合智能诊断模型。算例分析表明，该方法正确可行，可满足调度实用化要求。
英文摘要:
      
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