本文關(guān)鍵詞： 單永故障辨識(shí) 數(shù)據(jù)挖掘 模式識(shí)別　出處：《昆明理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著輸電線路單永故障辨識(shí)研究的不斷深入,國(guó)內(nèi)外學(xué)者相繼提出了一系列針對(duì)輸電線路單永故障辨識(shí)的解決方案,輸電線路單永故障辨識(shí)的理論體系日趨完善。單永故障辨識(shí)方法的研究以及相關(guān)技術(shù)的實(shí)用化,對(duì)提高輸電線路傳輸效率,以至于整個(gè)電力系統(tǒng)的安全、可靠、穩(wěn)定運(yùn)行有重要意義。單永故障辨識(shí)方法的研究已持續(xù)很長(zhǎng)一段時(shí)間,至今形成了單永故障辨識(shí)的兩大主流方法,即根據(jù)故障斷開相電弧過程電壓、頻率特性辨識(shí)單永故障和根據(jù)故障斷開相恢復(fù)/殘余電壓過程電壓特性差異辨識(shí)單永故障。但現(xiàn)有方法仍存在測(cè)量誤差大、判別時(shí)間長(zhǎng)、缺乏實(shí)測(cè)數(shù)據(jù)驗(yàn)證、缺乏普適性等欠缺,亟待進(jìn)一步研究與驗(yàn)證。本文從電弧電壓動(dòng)態(tài)特性、故障斷開相電壓動(dòng)態(tài)特性入手,從物理原理層面分析了自故障發(fā)生到自動(dòng)重合閘裝置動(dòng)作這段時(shí)間內(nèi)故障斷開相電壓特性,計(jì)算分析了并聯(lián)電抗器接入及其參數(shù)的選擇對(duì)故障斷開相電壓特性的影響。對(duì)電弧過程電壓、恢復(fù)/殘余電壓過程斷開相電壓、電流波形特征進(jìn)行分析,對(duì)比了單相瞬時(shí)性故障和單相永久性故障下不同故障過程電壓波形的差異。以不同的故障過渡電阻、不同的故障位置發(fā)生單相瞬時(shí)性故障和單相永久性故障為條件進(jìn)行仿真遍歷,構(gòu)建基于仿真數(shù)據(jù)的歷史故障數(shù)據(jù)樣本庫(kù);以幅值歸一化后的恢復(fù)/殘余電壓波形作為特征量,提出基于層次聚類算法的輸電線路單永故障辨識(shí)方法,方法以樣本庫(kù)為依托進(jìn)行監(jiān)督聚類,形成合并型聚類樹,實(shí)現(xiàn)對(duì)單永故障的辨識(shí)。由于層次聚類算法能夠突顯聚類過程中數(shù)據(jù)間的相似度關(guān)系,該方法能夠預(yù)估故障發(fā)生位置,確定故障發(fā)生區(qū)域。通過仿真測(cè)試樣本驗(yàn)證,所提方法能夠正確辨識(shí)單永故障,同時(shí)能夠完成對(duì)故障發(fā)生區(qū)域的預(yù)估。以幅值歸一化后的恢復(fù)/殘余電壓波形作為特征量,提出一種基于主成分分析-支持向量機(jī)(PCA-SVM)的單永故障辨識(shí)方法。利用主成分分析對(duì)測(cè)試樣本進(jìn)行降維,使其投影到基于樣本庫(kù)建立的特征空間,實(shí)現(xiàn)對(duì)測(cè)試樣本的故障性質(zhì)辨識(shí);使用支持向量機(jī)構(gòu)建最優(yōu)超平面對(duì)特征空間進(jìn)行劃分,優(yōu)化基于主成分分析方法的單永故障辨識(shí)結(jié)果。經(jīng)仿真數(shù)據(jù)和實(shí)測(cè)數(shù)據(jù)驗(yàn)證,本方法不受故障條件影響,適應(yīng)于帶或不帶并聯(lián)電抗器的輸電線路,以及不同電壓等級(jí)的輸電線路,是一種普適性的單永故障辨識(shí)方法。
[Abstract]:With the deepening of the research on single and permanent fault identification of transmission lines, scholars at home and abroad have put forward a series of solutions for single and permanent fault identification of transmission lines. The theoretical system of single and permanent fault identification of transmission lines is becoming more and more perfect. The research of single and permanent fault identification methods and the practical application of related technologies are helpful to improve transmission efficiency of transmission lines and even to ensure the safety and reliability of the whole power system. The study of single and permanent fault identification method has been going on for a long time, so far, two main methods of single forever fault identification have been formed, that is, according to the voltage of fault phase arc process, Single and permanent faults are identified by frequency characteristics and voltage characteristics of fault disconnected phase recovery / residual voltage process. However, the existing methods still have large measurement errors, long discriminant time and lack of verification of measured data. Due to the lack of universality and so on, it is urgent to further study and verify. This paper starts with the dynamic characteristics of arc voltage, the dynamic characteristics of fault disconnected phase voltage, and so on. From the aspect of physical principle, the characteristics of fault disconnected phase voltage in the period of time from the occurrence of fault to the action of automatic reclosing device are analyzed. The influence of the connection of shunt reactor and the selection of its parameters on the characteristics of the fault disconnected phase voltage is calculated and analyzed. The characteristics of the arc voltage, the recovery / residual voltage disconnect phase voltage and the current waveform are analyzed. The differences of voltage waveforms in different fault processes under single-phase transient fault and single-phase permanent fault are compared. Under the condition of single phase transient fault and single phase permanent fault occurring in different fault locations, the historical fault data sample database based on simulation data is constructed, and the amplitude normalized recovery / residual voltage waveform is taken as the characteristic value. This paper presents a single permanent fault identification method for transmission lines based on hierarchical clustering algorithm. The method is based on the sample base for supervised clustering to form a combined clustering tree. Because the hierarchical clustering algorithm can highlight the similarity relationship between the data in the clustering process, the method can predict the location of the fault and determine the fault occurrence area. The proposed method can correctly identify single and permanent faults, at the same time, it can complete the prediction of fault occurrence area. The amplitude normalized recovery / residual voltage waveform is used as the characteristic quantity. A single and permanent fault identification method based on principal component analysis-support vector machine (PCA-SVM) is proposed. The dimension of test samples is reduced by principal component analysis (PCA), which is projected to the feature space based on the sample base. The fault property identification of test samples is realized, the support vector mechanism is used to partition the feature space of optimal superplane face, and the results of single and permanent fault identification based on principal component analysis are optimized. The results are verified by simulation data and measured data. The method is suitable for transmission lines with or without parallel reactors and transmission lines with different voltage levels. It is a universal and single permanent fault identification method.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM755

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 宮鈺;趙妍;董爽;;基于SSI的超高壓線路單相自適應(yīng)重合閘故障判別方法[J];電測(cè)與儀表;2016年03期

2 冷崇富;江亞群;黃純;戴栩生;張磊;于浩明;;輸電線路單相自適應(yīng)重合閘的雙SVM實(shí)現(xiàn)方案[J];電網(wǎng)技術(shù);2014年10期

3 林達(dá);王慧芳;何奔騰;楊濤;張雪松;;基于波形相關(guān)性的帶并聯(lián)電抗器線路永久性故障判別方法[J];電力系統(tǒng)自動(dòng)化;2013年16期

4 張宇;胡琳;張一;李川;;超高壓輸電線路自適應(yīng)重合閘的暫態(tài)電壓判據(jù)[J];通信電源技術(shù);2013年03期

5 梁振鋒;索南加樂;宋國(guó)兵;康小寧;;輸電線路自適應(yīng)重合閘研究綜述[J];電力系統(tǒng)保護(hù)與控制;2013年06期

6 梁振鋒;索南加樂;康小寧;宋國(guó)兵;;利用最小二乘擬合算法的三相重合閘永久性故障判別[J];西安交通大學(xué)學(xué)報(bào);2013年06期

7 索南加樂;梁振鋒;宋國(guó)兵;;自適應(yīng)熄弧時(shí)刻的單相重合閘的研究[J];電力系統(tǒng)保護(hù)與控制;2012年05期

8 梁振鋒;索南加樂;宋國(guó)兵;石光;;基于模量電容參數(shù)識(shí)別的永久性故障判別方法[J];高電壓技術(shù);2011年04期

9 顧雪平;張碩;梁海平;賈京華;王勇;;考慮系統(tǒng)運(yùn)行狀況的電網(wǎng)連鎖故障風(fēng)險(xiǎn)性評(píng)估[J];電力系統(tǒng)保護(hù)與控制;2010年24期

10 李召兄;文俊;徐超;張慧媛;肖湘寧;;特高壓同塔雙回輸電線路的潛供電流[J];電工技術(shù)學(xué)報(bào);2010年11期

相關(guān)博士學(xué)位論文 前2條

1 蘇為華;多指標(biāo)綜合評(píng)價(jià)理論與方法問題研究[D];廈門大學(xué);2000年

2 張穎;數(shù)據(jù)采掘的研究與應(yīng)用[D];中國(guó)科學(xué)院研究生院（計(jì)算技術(shù)研究所）;1999年

相關(guān)碩士學(xué)位論文 前8條

1 羅薇;輸電線路單相自適應(yīng)重合閘方法及應(yīng)用[D];湖南大學(xué);2016年

2 陳誠(chéng);高壓輸電線路自適應(yīng)重合閘研究與開發(fā)[D];湖南大學(xué);2015年

3 楊競(jìng)及;超高壓交流輸電線路單相自適應(yīng)重合閘新方法研究[D];昆明理工大學(xué);2014年

4 李晶;電力變壓器絕緣在線監(jiān)測(cè)數(shù)據(jù)聚合模型及其應(yīng)用研究[D];昆明理工大學(xué);2014年

5 付劍波;云南綠色電力開發(fā)研究[D];云南大學(xué);2013年

6 繆元武;基于層次聚類的數(shù)據(jù)分析[D];安徽大學(xué);2013年

7 王志軍;合閘前故障檢測(cè)的研究[D];山東大學(xué);2008年

8 張鵬;基于主成分分析的綜合評(píng)價(jià)研究[D];南京理工大學(xué);2004年

，

本文編號(hào)：1504313