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作 者:宋云东 苑经纬 韩洪刚 王冠宇 郭铁 刘旸 Song Yundong;Yuan Jingwei;Han Honggang;Wang Guanyu;Guo Tie;Liu Yang(Electric Power Research Institute,State Grid Liaoning Electric Power Co.,Ltd.,Shenyang 110006,China)
机构地区:[1]国网辽宁省电力有限公司电力科学研究院,辽宁沈阳110006
出 处:《南京理工大学学报》2022年第1期55-60,共6页Journal of Nanjing University of Science and Technology
基 金:国家电网有限公司科技项目(2021YF-53)。
摘 要:电力变压器是电力系统的关键设备之一,变压器绕组故障将会造成变压器损坏,影响电力系统稳定运行。为了能有效诊断绕组变形故障,提出了一种基于超宽带(Ultra wide band,UWB)技术和微波共焦成像(Confocal microwave imaging,CMI)技术的绕组变形故障检测方法,利用UWB收发器向变压器绕组发射短脉冲,并测量其沿线性路径的多个点处的反射信号,然后对测量信号进行CMI算法处理,获得绕组的2D图像,来确定电力变压器绕组径向变形的大小和位置。另外,还设计了变压器绕组四个不同位置的变形试验来验证这种方法的有效性。试验结果表明,提出的绕组径向变形检测方法简单易懂,通过获得变压器模型的2D图像,可以方便、直观地检测变压器绕组径向变形的尺寸和位置。Power transformer is one of the key equipments of power system.Transformer winding fault causes transformer damage and affects the stable operation of power system.In order to effectively diagnose the winding deformation fault,a winding deformation fault detection method based on ultra wide band(UWB)technology and confocal microwave imaging(CMI)technology is proposed.The UWB transceiver transmits a short pulse to the transformer winding and measures the reflected signals at multiple points along the linear path.Then the measured signal is processed by CMI algorithm to obtain the 2D image of the winding to determine the size and position of the radial deformation of the power transformer winding.In addition,the deformation tests at four different positions of transformer winding are designed to verify the effectiveness of the method.The test results show that the proposed winding radial deformation detection method is simple and easy to understand.By obtaining the 2D image of transformer model,the size and position of transformer winding radial deformation can be detected conveniently and intuitively.
关 键 词:变压器 绕组径向变形 超宽带 微波共焦成像 2D图像
分 类 号:TM774[电气工程—电力系统及自动化]
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