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文章摘要
变压器油光谱远程在线分析系统
Remote online analysis system of transformer oil spectrum
Received:December 20, 2019  Revised:January 14, 2020
DOI:10.19753/j.issn1001-1390.2022.05.022
中文关键词: 变压器油  光谱检测  智能化  在线监测
英文关键词: transformer oil, chromatographic, intelligence, on-line monitoring
基金项目:
Author NameAffiliationE-mail
Wu Jianhui* Shangqiu Power Supply Company, State Grid Henan Electric Power Company, Shangqiu 476000, Henan, China vbvvn299@163.com 
Shi Jun Shangqiu Power Supply Company, State Grid Henan Electric Power Company, Shangqiu 476000, Henan, China vbvvn299@163.com 
Zhou Yunfeng Zhaotong Power Supply Bureau, Yunnan Power Grid Co., Ltd., Zhaotong 657000, Yunnan, China vbvvn299@163.com 
Wang Dijin Zhongke Baiwei(Yunnan)Technology Co., Ltd., Kunming 650032, China vbvvn299@163.com 
Zhao Xiangfei Zhongke Baiwei(Yunnan)Technology Co., Ltd., Kunming 650032, China 1@qq.com 
Jiang Xinli Xuchang KETOP Electrical Research Institute Co., Ltd., Xuchang 461000, Henan, China 2@qq.com 
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中文摘要:
      与油中溶解气体的气相色谱分析、物理化学传感等检测方法相比,利用光谱法对于变压器油中溶解气体的检测具备非接触式、抗电磁干扰能力强、免标定等优点,未来的应用前景被工业界和学术界看好。针对传统变压器油色谱分析存在误差大、流程步骤繁琐、检测周期较长等缺点,提出一种基于光声光谱检测法的新型变压器油中溶解气体在线检测方法,研制出一套基于新型检测方法的在线检测分析系统,并成功应用于某市220 kV变压器中,对比其历史检测数据,验证了该检测方法的有效性和所研制的在线检测系统的稳定性。
英文摘要:
      Compared with detection methods such as gas chromatography analysis and physical and chemical sensing of dissolved gas in oil, the utilization of spectroscopy to detect dissolved gas in transformer oil has the advantages of non-contact, strong electromagnetic interference resistance, calibration-free, etc., and future applications prospect is favored by industry and academia. Aiming at the shortcomings of traditional transformer oil chromatographic analysis, such as large errors, tedious process steps, and long detection cycles, this paper presents a novel online detection method for dissolved gases in transformer oil based on photoacoustic spectroscopy, and develops a novel detection method based on online detection and analysis system was successfully applied to a 220 kV transformer in a city. The comparison of its historical detection data verified the effectiveness of the online detection method and the stability of the developed online detection system.
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