【摘要】：電力變壓器是電網(wǎng)最重要的電能分配與傳輸設(shè)備,同時(shí)也是整個(gè)變電站、配電站的核心設(shè)備。變壓器的安全、可靠運(yùn)行是變配電站乃至整個(gè)電力系統(tǒng)安全,優(yōu)質(zhì),經(jīng)濟(jì),可靠運(yùn)行的重要保證,因此對(duì)其進(jìn)行故障診斷及預(yù)測(cè)具有十分重要的現(xiàn)實(shí)與理論意義。油中溶解氣體分析(DGA)為電網(wǎng)對(duì)變壓器使用的重要故障診斷方法,當(dāng)油浸式變壓器發(fā)生故障后,將產(chǎn)生相應(yīng)的特征氣體,其成分與含量可以反映電力變壓器礦物絕緣油的狀態(tài)及其劣化度,從而反映電力變壓器的實(shí)際運(yùn)行狀況。對(duì)電力變壓器油中溶解特征氣體的成分及其增長(zhǎng)速率進(jìn)行診斷能夠及時(shí)發(fā)現(xiàn)變壓器內(nèi)部存在的潛伏性故障,預(yù)測(cè)變壓器的運(yùn)行狀態(tài)并分析預(yù)測(cè)結(jié)果,提前判斷是否發(fā)生故障,并據(jù)此采取相應(yīng)的防護(hù)措施,從而保證變壓器的可靠運(yùn)行,同時(shí)DGA不受外部電磁場(chǎng)的干擾,因此是電力設(shè)備實(shí)現(xiàn)狀態(tài)檢修的一個(gè)重要技術(shù)。本文通過(guò)將電力變壓器DGA與灰色系統(tǒng)理論相結(jié)合建立了基于灰關(guān)聯(lián)的油浸式電力變壓器故障診斷模型,同時(shí)結(jié)合區(qū)間估計(jì)法建立了油浸式電力變壓器油中溶解氣體含量的區(qū)間預(yù)測(cè)模型,克服了僅預(yù)測(cè)單一值的不足。其次應(yīng)用MATLAB編制了電力變壓器故障診斷軟件,主要包括了基于IEC三比值的電力變壓器故障診斷、基于灰關(guān)聯(lián)的電力變壓器故障診斷與基于灰色理論的電力變壓器油中溶解氣體區(qū)間預(yù)測(cè)三個(gè)功能模塊。最后通過(guò)診斷實(shí)例分析和實(shí)際的故障原因的檢查對(duì)比分析,得出基于灰色理論的電力變壓器故障診斷模型與油中溶解氣體區(qū)間預(yù)測(cè)模型可以較好的實(shí)現(xiàn)變壓器的故障分析。
[Abstract]:The power transformer is the most important power distribution and transmission equipment of the power grid, and is also the core equipment of the whole substation and the power distribution station. The safe and reliable operation of the transformer is an important guarantee for the safe, high-quality, economical and reliable operation of the power transformer substation and the whole power system. Therefore, it is very important to fault diagnosis and prediction. The analysis of dissolved gas in oil (DGA) is an important fault diagnosis method used by the power grid to the transformer. When the oil-immersed transformer fails, the corresponding characteristic gas will be generated, and its composition and content can reflect the state and the deterioration degree of the mineral insulating oil of the power transformer. so as to reflect the actual operation state of the power transformer. the component and the growth rate of the dissolved characteristic gas in the power transformer oil can be diagnosed, the latent fault existing in the transformer can be timely detected, the running state of the transformer is predicted, the prediction result is analyzed, the fault is judged in advance, and accordingly, corresponding protective measures are taken, so as to ensure the reliable operation of the transformer, and the DGA is not interfered by the external electromagnetic field and is therefore an important technology for realizing the state maintenance of the power equipment. In this paper, an oil-immersed power transformer fault diagnosis model based on gray correlation is established by combining the power transformer DGA and the grey system theory, and the interval prediction model of the dissolved gas content in the oil-immersed power transformer oil is established by combining the interval estimation method. the disadvantage of predicting only a single value is overcome. Secondly, the fault diagnosis software of the power transformer is developed by using MATLAB, which mainly includes the fault diagnosis of the power transformer based on the IEC three-ratio, the fault diagnosis of the power transformer based on the gray correlation and the three function modules for predicting the dissolved gas interval in the power transformer oil based on the grey theory. Finally, the fault analysis of the transformer can be realized by the analysis of the diagnosis case and the actual fault reason. The fault diagnosis model of the power transformer and the gas interval prediction model of the oil are obtained.
【學(xué)位授予單位】：河北科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM411

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