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變電站避雷器在線監(jiān)測系統(tǒng)的研究與設(shè)計

發(fā)布時間:2018-04-18 21:25

  本文選題:避雷器 + 狀態(tài)檢修; 參考:《沈陽農(nóng)業(yè)大學(xué)》2017年碩士論文


【摘要】:金屬氧化物避雷器是一種電力行業(yè)內(nèi)常用的設(shè)備,用以保證電力系統(tǒng)正常運作,不產(chǎn)生傷害。這種避雷器(也稱為MOA)的主要原理是,通過對施加在設(shè)備上的大氣過電壓或內(nèi)部過電壓進行非線性調(diào)控,從而保證施加被保護設(shè)備上的電壓在正常范圍內(nèi)。但是,在實際工作中,這種避雷器由于過電壓作用,可能會產(chǎn)生損壞,引起比較大的電流泄露。產(chǎn)生漏電之后,還會導(dǎo)致功率有額外的損耗,引起MOA嚴重損壞,甚至可能發(fā)生比較嚴重的事故,危害人身財產(chǎn)安全。因此,在電力行業(yè),要十分注重避雷器的定期檢修,檢測避雷器的漏電情況。這樣才能夠保證MOA的正常工作,保證電力系統(tǒng)的安全運行。對電力行業(yè)來說具有比較重要的實用價值。在本文中,筆者主要對避雷器的工作運行原理以及監(jiān)測電路等方面進行分析,探究各種影響MOA工作情況的因素,隨后搭建起比較適宜在線檢修的系統(tǒng)平臺,并結(jié)合數(shù)學(xué)模型進行分析。搭建好模型之后,對傳統(tǒng)的在線檢測過程加以測試和完善,設(shè)計出MOA在線監(jiān)測系統(tǒng)的實現(xiàn)方案。在方案中,實現(xiàn)了對數(shù)據(jù)測量、傳送以及分析等方面的討論。對于基于神經(jīng)網(wǎng)絡(luò)的避雷器故障診斷系統(tǒng),文中進行了設(shè)計與討論,對避雷器遠程在線監(jiān)測提供了解決方案。對于在線監(jiān)測系統(tǒng)的電源系統(tǒng)進行了設(shè)計。本文還結(jié)合了傳統(tǒng)的監(jiān)測系統(tǒng),設(shè)計出了比較易于操作的管理體系。這種管理體系能夠?qū)崿F(xiàn)比較好的擴展性,并且在實際中安全性能有所保障,也便于操作。本文所設(shè)計的MOA監(jiān)測系統(tǒng),一方面能夠為電力行業(yè)避雷器實時檢測提供解決方案,另外一方面,在其他高壓設(shè)備實時監(jiān)測也具有一定的參考意義。
[Abstract]:Metal oxide arrester is a common equipment in the power industry to ensure the normal operation of the power system without causing harm.The main principle of this arrester (also known as moa) is to ensure that the applied voltage on the protected equipment is in the normal range by nonlinear regulating the atmospheric overvoltage or the internal overvoltage applied on the equipment.However, in practice, the surge arrester may be damaged due to overvoltage, causing a relatively large leakage of current.After the leakage of electricity, it will lead to extra loss of power, serious damage to MOA, and even serious accidents, endangering the safety of personal and property.Therefore, in the power industry, should pay great attention to the periodic maintenance of arresters, detection of lightning arrester leakage.Only in this way can we ensure the normal operation of MOA and the safe operation of power system.It has important practical value for electric power industry.In this paper, the author mainly analyzes the operation principle and monitoring circuit of the arrester, probes into the factors that affect the working condition of MOA, and then builds a system platform suitable for on-line maintenance.And combined with the mathematical model to analyze.After the model is built, the traditional on-line detection process is tested and perfected, and the realization scheme of MOA on-line monitoring system is designed.In the scheme, the data measurement, transmission and analysis are discussed.The fault diagnosis system of arrester based on neural network is designed and discussed in this paper, which provides a solution for remote on-line monitoring of arrester.The power supply system of online monitoring system is designed.This paper also combines the traditional monitoring system and designs a management system which is easy to operate.This management system can achieve good expansibility, and in practice, the security performance is guaranteed, and it is easy to operate.The MOA monitoring system designed in this paper, on the one hand, can provide a solution for real-time detection of lightning arresters in power industry, on the other hand, it has certain reference significance in other high-voltage equipment real-time monitoring.
【學(xué)位授予單位】:沈陽農(nóng)業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TM862;TM63
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本文編號:1770138

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