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作 者:余琼芳[1,2] 胡亚倩 杨艺 YU Qiongfang;HU Yaqian;YANG Yi(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454003,China;Postdoctoral Programme of Beijing Research Institute,Dalian University of Technology,Beijing 100000,China)
机构地区:[1]河南理工大学电气工程与自动化学院,河南焦作454003 [2]大连理工大学北京研究院博士后科研工作站,北京100000
出 处:《电器与能效管理技术》2020年第1期24-30,共7页Electrical & Energy Management Technology
基 金:国家自然科学基金资助项目(61601172);博士后科学基金资助项目(2018M641287)
摘 要:在低压交流配电线路中,故障电弧是造成电气火灾的主要原因,给电力系统运行带来很大的安全隐患。为保护用电安全,介绍了故障电弧类型,分析了串联故障电弧的检测难点及其在配电线路中的电流波形特征;叙述了以电弧数学模型、电弧物理特征、电弧电流/电压波形为依据的检测方法各自具有的优势和不足;列举了几个国内外故障电弧检测专利,并分析了其在实际应用中存在的缺点;探讨了低压串联故障电弧检测方法的未来发展方向,进一步研究基于多特征信息融合、深度学习、自适应保护的高精度辨识算法。In low voltage AC power supply and distribution lines,arc fault is the main cause of electrical fires,which brings serious safety hazards to the operation of power systems.In order to protect the electrical safety,the arc fault types are described,detection difficulties and current waveform characteristics of series arc fault in the residential power supply and distribution lines are analyzed.The advantages and disadvantages of detection methods based on arc mathematical model,arc physics feature and arc current voltage waveform are discussed.Several arc fault detection patents are exemplified and their shortcomings are analyzed.The future development direction of the series arc fault detection method is prospected.An high-precision identification algorithm based on multi-feature information fusion,deep learning and adaptive protection need to be further researched.
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