發(fā)布時間：2018-05-08 06:11

  本文選題：金屬氧化鋅避雷器 + 等效電路�。� 參考：《華北電力大學(xué)》2014年碩士論文

【摘要】：隨著經(jīng)濟(jì)的發(fā)展,對電力系統(tǒng)的安全性和可靠性的要求也越來越高。其中氧化鋅避雷器(Metal Oxide Surge Arrester,簡稱MOA)作為一種重要的過壓保護(hù)電器,能有效保護(hù)其它電力設(shè)備。因其還具備反應(yīng)速度快、通流能力強(qiáng)、體積小等眾多優(yōu)點,在電力系統(tǒng)中得到應(yīng)用廣泛。因此氧化鋅避雷器性能的優(yōu)劣直接影響電力系統(tǒng)的安全運行。目前,分析判斷氧化鋅避雷器是否存在故障,最有效的方法就是監(jiān)測避雷器泄漏電流中的阻性電流。 本文首先介紹金屬氧化鋅避雷器(MOA)的組成結(jié)構(gòu)、電氣性能及等值電路,闡述目前監(jiān)測避雷器阻性電流特征量的主要方法和原理,如三次諧波法、補(bǔ)償法、西林電橋介質(zhì)損耗測量法、諧波分析法等,并對各種原理進(jìn)行分析,提出各種算法的適用場合,為研究精度高、功能全的避雷器在線監(jiān)測與故障診斷裝置提供了理論依據(jù)。 本文研究的系統(tǒng)由硬件和軟件兩部分構(gòu)成,其中硬件部分由電流取樣單元、電壓取樣單元、信號處理單元等部分組成；主要完成就地數(shù)據(jù)采集、數(shù)模轉(zhuǎn)換、運算及通信功能,提供光纖冗余接口,實現(xiàn)裝置間以及裝置與后臺系統(tǒng)間(包括CAC)通訊。軟件部分由分布式實時數(shù)據(jù)庫、人機(jī)交互界面等組成,將所有的單元采集的數(shù)據(jù)進(jìn)行匯總,在綜合考慮各種干擾因素的同時,根據(jù)數(shù)學(xué)形態(tài)學(xué)、模糊神經(jīng)網(wǎng)絡(luò)等方法,并結(jié)合避雷器專家系統(tǒng)、制造廠家的經(jīng)驗,對避雷器進(jìn)行綜合在線監(jiān)測與故障診斷。 本系統(tǒng)的工程應(yīng)用可在避雷器發(fā)生故障之前,進(jìn)行實時狀態(tài)評估和分析,在第一時間內(nèi)發(fā)現(xiàn)避雷器設(shè)備內(nèi)部潛伏性故障,進(jìn)而預(yù)防故障或在出現(xiàn)故障情況下能夠有的放矢,快速排除故障,進(jìn)而為電力系統(tǒng)的安全可靠運行提供有力保障。
[Abstract]:With the development of economy, the requirement of security and reliability of power system is higher and higher. Zinc oxide arrester Metal Oxide Surge Arrester (Moa), as an important overvoltage protector, can effectively protect other power equipment. It is widely used in power system because of its many advantages such as fast reaction speed, strong current capacity and small volume. Therefore, the performance of zinc oxide arrester directly affects the safe operation of power system. At present, the most effective method is to monitor the resistive current in the leakage current of zinc oxide arrester. This paper first introduces the composition, electrical performance and equivalent circuit of metal zinc oxide arrester MOA, and expounds the main methods and principles of monitoring the characteristic quantity of resistive current of arrester, such as third harmonic method, compensation method, etc. The method of measuring dielectric loss of Xilin bridge, harmonic analysis method and so on, and the analysis of various principles are carried out, and the application of various algorithms is put forward, which provides a theoretical basis for the research of on-line monitoring and fault diagnosis device of lightning arrester with high precision and full function. The system studied in this paper consists of two parts: hardware and software. The hardware is composed of current sampling unit, voltage sampling unit, signal processing unit and so on. Provide optical fiber redundant interface to realize communication between device and background system (including CAC). The software is composed of distributed real-time database, human-computer interface and so on. The data collected by all the units are summarized. At the same time, according to the methods of mathematical morphology, fuzzy neural network and so on, all kinds of interference factors are considered synthetically. Combined with the expert system of arrester and the experience of manufacturer, the integrated on-line monitoring and fault diagnosis of arrester are carried out. The engineering application of the system can be used to evaluate and analyze the real time state of the arrester before the failure of the arrester, and to find the internal latent fault of the arrester equipment in the first time, and then to prevent the failure or to target the lightning arrester in the event of failure. Fast troubleshooting can provide a strong guarantee for the safe and reliable operation of power system.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM862

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本文編號：1860271