變壓器局部放電監(jiān)測系統(tǒng)的研究與開發(fā)
發(fā)布時(shí)間:2018-07-25 17:01
【摘要】:當(dāng)變壓器絕緣部件出現(xiàn)老化時(shí),一般就會引起局部放電,同時(shí)如果此現(xiàn)象得不到抑制,會引發(fā)更為嚴(yán)重的絕緣擊穿,造成設(shè)備損壞或更為嚴(yán)重的人員傷亡事件,是以從始至終獲得國內(nèi)外專家的普遍關(guān)注。要想盡力避免事故發(fā)生,就需要我們對變壓器設(shè)備進(jìn)行定期檢修,及早的發(fā)現(xiàn)問題并防止問題的進(jìn)一步擴(kuò)展,同時(shí)為了找到變壓器在生產(chǎn)或裝配時(shí)忽視的問題,并能準(zhǔn)確定位放電位置、確定絕緣部件是否損壞,保證設(shè)備能夠正常運(yùn)行,因此設(shè)計(jì)開發(fā)變壓器設(shè)備局部放電在線監(jiān)測系統(tǒng)。本文對局部放電信號進(jìn)行相關(guān)研究后展開工作,首先討論局部放電的產(chǎn)生機(jī)理并分析對比目前局部放電檢測方法,提出超聲波法作為本課題開展的重要方法。接著選擇合適的超聲波傳感器采集信號,利用ARM系列STM32芯片作為主控制芯片設(shè)計(jì)監(jiān)測系統(tǒng)硬件部分電路,主要包括信號的采集及處理。用小波基的算法理論驗(yàn)證其在信號去噪功能的有效性,并在MATLAB軟件中將真實(shí)的局放信號仿真驗(yàn)證,確定小波算法并將其在芯片中實(shí)現(xiàn),最后將處理后的信號發(fā)送到PC端,以便分析其波形特性。綜上所述,本系統(tǒng)設(shè)計(jì)了合理的硬件處理電路和軟件處理過程,并利用小波算法成功的對含噪信號進(jìn)行去噪處理,提高了信號的測量精度,對變壓器局部放電的深入研究和檢修都具有重大的實(shí)際意義,具有一定的研究價(jià)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.
【學(xué)位授予單位】:蘭州理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】: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.
【學(xué)位授予單位】:蘭州理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TM855
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 郭威;王子伊;姜言金;趙長春;徐平;;高壓電氣設(shè)備局部放電監(jiān)測系統(tǒng)設(shè)計(jì)[J];自動化與儀器儀表;2017年04期
2 陸云才;胡漢巧;蔚超;李建生;吳鵬;;基于超聲波法的變壓器重癥監(jiān)護(hù)系統(tǒng)研制及應(yīng)用[J];電力工程技術(shù);2017年02期
3 陳曉林;汪l,
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