本文選題：電力變壓器　切入點：振動　出處：《華北電力大學》2014年碩士論文　論文類型：學位論文

【摘要】：電力變壓器作為電力系統(tǒng)中最重要的設(shè)備之一,它的正常運行直接關(guān)系到整個電力系統(tǒng)的安全穩(wěn)定。而在長期運行過程中,變壓器鐵心與繞組難免會出現(xiàn)異常,引發(fā)電力變壓器故障。為了能及時發(fā)現(xiàn)電力變壓器的故障隱患,提高電力變壓器的運行可靠性,開展對變壓器振動信號在線監(jiān)測的研究具有重要意義。 本文首先設(shè)計了電力變壓器振動在線監(jiān)測系統(tǒng),采用LabVIEW軟件開發(fā)了振動在線監(jiān)測系統(tǒng)平臺,實現(xiàn)了對變壓器振動信號的在線監(jiān)測,可實時不間斷監(jiān)測變壓器油箱表面12個位置的振動信號,觀測振動信號的主頻、頻譜圖、趨勢圖等相關(guān)信息,并開發(fā)了歷史數(shù)據(jù)分析模塊,實現(xiàn)對電力變壓器振動信號的全方位監(jiān)測。 基于頻譜圖對變壓器不同測點處的振動信號進行了分析研究。研究發(fā)現(xiàn),同型號變壓器同一測點處的振動信號、變壓器三相同一測點處的振動信號具有相似的特征頻率,但各主頻的幅值差異較大；變壓器同相上下位置處的振動信號、同相高低壓套管兩側(cè)對稱位置處的振動信號在主要特征頻率及各頻率的幅值上都比較相似。因此在精度要求不高的情況下可以按上述結(jié)論減少測點,能夠節(jié)約成本并且大大減少日后分析數(shù)據(jù)的工作量。 基于小波包變換對變壓器振動信號做了分析研究。根據(jù)小波包變換的原理,對待分析的振動信號進行3層小波包分解,將原始信號分解為8個不同頻段的信號,分別提取其能量特征,構(gòu)造其能量特征向量,將該向量與歷史振動數(shù)據(jù)庫提取出的指紋量進行對比,進而診斷出變壓器鐵心及繞組的運行狀況。并采用該方法對一組振動信號進行了實例分析,其結(jié)果表明該方法可以有效診斷出變壓器鐵心及繞組的異常狀況。
[Abstract]:As one of the most important equipments in power system, the normal operation of power transformer is directly related to the safety and stability of the whole power system. In order to find the hidden trouble of power transformer in time and improve the reliability of power transformer, it is of great significance to study the on-line monitoring of transformer vibration signal. In this paper, the on-line vibration monitoring system of power transformer is designed, and the platform of on-line vibration monitoring system is developed by using LabVIEW software. The on-line monitoring of transformer vibration signal is realized. The vibration signal of 12 positions on the surface of the oil tank of transformer can be monitored continuously in real time, and the main frequency, spectrum diagram, trend chart and other related information of the vibration signal can be observed, and the historical data analysis module has been developed. Realize the omni-directional monitoring of power transformer vibration signal. Based on the spectrum diagram, the vibration signals at different measuring points of transformers are analyzed and studied. It is found that the vibration signals of the same type transformers at the same measuring point and the vibration signals at the same measuring points of three phases of transformers have similar characteristic frequencies. But the amplitude of each main frequency varies greatly. The vibration signal at the symmetrical position on both sides of the in-phase high and low pressure casing is similar in the main characteristic frequency and the amplitude of each frequency. Therefore, if the precision requirement is not high, the measuring points can be reduced according to the above conclusion. Can save cost and greatly reduce the amount of data analysis in the future. Based on wavelet packet transform, transformer vibration signal is analyzed and studied. According to the principle of wavelet packet transform, the vibration signal is decomposed into 8 different frequency bands by three layers wavelet packet decomposition. The energy feature is extracted, and the energy feature vector is constructed, and compared with the fingerprint extracted from the historical vibration database. Furthermore, the operation condition of transformer core and winding is diagnosed, and a group of vibration signals are analyzed by using this method. The results show that this method can effectively diagnose the abnormal condition of transformer core and winding.
【學位授予單位】：華北電力大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM41

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