变压器局部放电监测系统的研究与开发
发布时间：2018-07-25 17:01
【摘要】：当变压器绝缘部件出现老化时,一般就会引起局部放电,同时如果此现象得不到抑制,会引发更为严重的绝缘击穿,造成设备损坏或更为严重的人员伤亡事件,是以从始至终获得国内外专家的普遍关注。要想尽力避免事故发生,就需要我们对变压器设备进行定期检修,及早的发现问题并防止问题的进一步扩展,同时为了找到变压器在生产或装配时忽视的问题,并能准确定位放电位置、确定绝缘部件是否损坏,保证设备能够正常运行,因此设计开发变压器设备局部放电在线监测系统。本文对局部放电信号进行相关研究后展开工作,首先讨论局部放电的产生机理并分析对比目前局部放电检测方法,提出超声波法作为本课题开展的重要方法。接着选择合适的超声波传感器采集信号,利用ARM系列STM32芯片作为主控制芯片设计监测系统硬件部分电路,主要包括信号的采集及处理。用小波基的算法理论验证其在信号去噪功能的有效性,并在MATLAB软件中将真实的局放信号仿真验证,确定小波算法并将其在芯片中实现,最后将处理后的信号发送到PC端,以便分析其波形特性。综上所述,本系统设计了合理的硬件处理电路和软件处理过程,并利用小波算法成功的对含噪信号进行去噪处理,提高了信号的测量精度,对变压器局部放电的深入研究和检修都具有重大的实际意义,具有一定的研究价值。
[Abstract]:When transformer insulation parts are aging, partial discharge is usually caused, and if this phenomenon is not suppressed, it will lead to more serious insulation breakdown, resulting in equipment damage or more serious casualties. From beginning to end, it is the general concern of experts at home and abroad. In order to avoid accidents, we need to carry out regular maintenance of transformer equipment, detect problems early and prevent further problems from spreading, and in order to find problems that are ignored in production or assembly of transformers, It can accurately locate the discharge position, determine whether the insulation parts are damaged or not, and ensure the normal operation of the equipment. Therefore, the on-line partial discharge monitoring system for transformer equipment is designed and developed. In this paper, the partial discharge signal is studied. Firstly, the mechanism of partial discharge is discussed, and the current partial discharge detection method is analyzed and compared. The ultrasonic method is proposed as an important method in this paper. Then the suitable ultrasonic sensor is selected to collect the signal, and the ARM series STM32 chip is used as the main control chip to design the hardware circuit of the monitoring system, which mainly includes the signal acquisition and processing. The algorithm theory of wavelet base is used to verify the effectiveness of the signal denoising function, and the real partial discharge signal is simulated in MATLAB software. The wavelet algorithm is determined and implemented in the chip. Finally, the processed signal is sent to the PC. In order to analyze its waveform characteristics. To sum up, the system designed a reasonable hardware processing circuit and software processing process, and used wavelet algorithm to de-noising the noisy signal successfully, and improved the measurement accuracy of the signal. It is of great practical significance to study and overhaul partial discharge of transformers.
【学位授予单位】：兰州理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM855
[Abstract]:When transformer insulation parts are aging, partial discharge is usually caused, and if this phenomenon is not suppressed, it will lead to more serious insulation breakdown, resulting in equipment damage or more serious casualties. From beginning to end, it is the general concern of experts at home and abroad. In order to avoid accidents, we need to carry out regular maintenance of transformer equipment, detect problems early and prevent further problems from spreading, and in order to find problems that are ignored in production or assembly of transformers, It can accurately locate the discharge position, determine whether the insulation parts are damaged or not, and ensure the normal operation of the equipment. Therefore, the on-line partial discharge monitoring system for transformer equipment is designed and developed. In this paper, the partial discharge signal is studied. Firstly, the mechanism of partial discharge is discussed, and the current partial discharge detection method is analyzed and compared. The ultrasonic method is proposed as an important method in this paper. Then the suitable ultrasonic sensor is selected to collect the signal, and the ARM series STM32 chip is used as the main control chip to design the hardware circuit of the monitoring system, which mainly includes the signal acquisition and processing. The algorithm theory of wavelet base is used to verify the effectiveness of the signal denoising function, and the real partial discharge signal is simulated in MATLAB software. The wavelet algorithm is determined and implemented in the chip. Finally, the processed signal is sent to the PC. In order to analyze its waveform characteristics. To sum up, the system designed a reasonable hardware processing circuit and software processing process, and used wavelet algorithm to de-noising the noisy signal successfully, and improved the measurement accuracy of the signal. It is of great practical significance to study and overhaul partial discharge of transformers.
【学位授予单位】：兰州理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM855
【参考文献】
相关期刊论文 前10条
1 郭威;王子伊;姜言金;赵长春;徐平;;高压电气设备局部放电监测系统设计[J];自动化与仪器仪表;2017年04期
2 陆云才;胡汉巧;蔚超;李建生;吴鹏;;基于超声波法的变压器重症监护系统研制及应用[J];电力工程技术;2017年02期
3 陈晓林;汪l，
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