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文章摘要
基于随机森林的干式电抗器边缘监测系统研究
Research on edge monitoring system of dry-type reactor based on random forest method
Received:June 09, 2023  Revised:June 25, 2023
DOI:10.19753/j.issn1001-1390.2025.12.025
中文关键词: 故障识别  边缘终端  在线监测  随机森林
英文关键词: fault identification, edge terminal, online monitoring, random forest
基金项目:国网四川省电力公司科技项目(5219172000K1)
Author NameAffiliationE-mail
LIU Yaohong Meishan Power Supply Company, State Grid Sichuan Electric Power Company tanjuny0123@163.com 
WU Xiong* Meishan Power Supply Company, State Grid Sichuan Electric Power Company tanjuny0123@163.com 
LI Yuanlong Meishan Power Supply Company, State Grid Sichuan Electric Power Company tanjuny0123@163.com 
YANG Shuang Meishan Power Supply Company, State Grid Sichuan Electric Power Company tanjuny0123@163.com 
WANG Minghe Meishan Power Supply Company, State Grid Sichuan Electric Power Company tanjuny0123@163.com 
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中文摘要:
      电抗器设备对于保证电力系统的安全稳定运行具有重要意义。针对干式电抗器单一状态监测效率较低,导致无法对运行故障做出及时反馈的问题,文章研究并设计了一种基于温度和损耗的干式电抗器多状态量边缘在线监测系统。文中首先设计了基于边缘终端和云平台交互模式的监测系统结构,然后对干式电抗器的温度、损耗测量和计算原理进行了讨论,并提出了基于随机森林的干式电抗器运行状态评估和故障识别方法。文中仿真实验表明所述方法在干式电抗器多状态监测分类中具有较高的准确率,可以有效用于运行故障的监测和评估。
英文摘要:
      Reactor is of great significance for ensuring the safe and stable operation of power system. Aiming at the problem of low efficiency in single state monitoring of dry-type reactors, leading to the inability to provide timely feedback on operational faults, this paper studies and designs a multi-state monitoring system for dry-type reactors based on temperature and power loss monitoring. Firstly, the monitoring system structure based on interaction between edge terminal and cloud platform is designed. Then, the measurement and calculation principles of temperature and power loss of dry-type reactor are discussed and a comprehensive state assessment method based on random forest is designed for fault identification. The experiment shows that the proposed method has higher accuracy in multi-state monitoring of dry-type reactors, which can be effectively used for monitoring and evaluating operational faults.
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