發(fā)布時間：2018-01-10 08:38

  本文關鍵詞：復雜輸電線路故障測距方法研究　出處：《南京理工大學》2014年碩士論文　論文類型：學位論文

  更多相關文章： 故障測距 T型輸電線路 同桿并架雙回輸電線路 時頻原子分解 新相模變換矩陣

【摘要】：隨著我國經(jīng)濟快速發(fā)展,電力負荷逐年增長,提高電網(wǎng)輸電容量的需求十分迫切。然而我國輸電走廊建設和耕地資源保護的矛盾十分突出,并且已經(jīng)成為制約電網(wǎng)可持續(xù)大規(guī)模發(fā)展的主要瓶頸之一。復雜電力輸電線路可以減少供電半徑,節(jié)省電力設備投資、提高線路的使用效益,尤其在多個變電站交叉供電中得到廣泛應用。隨著復雜輸電線路的不斷興起,眾多學者開始對線路的故障測距方案進行研究。 本文對輸電線路信號奇異點的提取運用了時頻原子分解法,并將這種方法應用在T型以及同桿并架雙回輸電線路故障測距中。對于同桿并架雙回輸電線路同名相跨線故障無法測量的問題,進一步提出了基于雙模量的故障判別方法。 在帶有T型分支的輸電線路中,利用單端工頻故障信息或者行波故障信息較難實現(xiàn)各種故障情況下的故障測距。本論文運用故障初始行波波頭到達三個測量端時間差的方法來判別故障支路,對于行波浪涌奇異點的提取則采用時頻原子分解法,在綜合比較了不同時頻原子庫下算法的計算性能后提出了基于Gabor原子庫的MP分解算法,并對分解后的各個原子庫進行時頻分析,結(jié)果表明該方法受信號中的噪聲干擾較小,能夠有效地提取信號中的高頻信息分量。 同桿并架雙回輸電線路因線路之間電氣量耦合較為嚴重,故障種類復雜多樣。以往針對雙回線的故障測距算法并不能夠反應同名相跨線故障,本文在定性地比較經(jīng)典相模變換矩陣的基礎上,總結(jié)分析經(jīng)典相模變換矩陣的不足,提出基于雙模量的故障類型識別方法,該方法可以反應雙回輸電線路的所有故障種類。對故障行波波頭奇異點的提取則采用了與上述T型線路相同的時頻原子分解法。運用PSCAD以及MATLAB/SIMULINK電力系統(tǒng)仿真軟件對算法進行大量仿真實驗,仿真結(jié)果表明上述測距方案穩(wěn)定性好,計算精度高、并且不受故障類型、故障位置、過渡電阻和系統(tǒng)運行方式變化的影響。
[Abstract]:With the rapid development of our economy and the increase of power load year by year, it is urgent to improve the transmission capacity of power grid. However, the contradiction between the construction of transmission corridor and the protection of cultivated land resources in China is very prominent. Complex power transmission lines can reduce the radius of power supply, save the investment of power equipment, and improve the efficiency of line use. With the rising of complex transmission lines, many scholars began to study the fault location scheme of the lines. In this paper, the time-frequency atomic decomposition method is used to extract the singularity of transmission line signals. This method is applied to fault location of T type and double circuit transmission lines. Furthermore, a fault discrimination method based on two modules is proposed. In a transmission line with a T-branch. It is difficult to realize fault location by using single terminal power frequency fault information or traveling wave fault information. In this paper, the method of time difference between the initial traveling wave head and the three measuring ends is used to identify the fault branch. The time-frequency atomic decomposition method is used to extract the singularity of traveling wave surge, and the MP decomposition algorithm based on Gabor atomic library is proposed after comparing the computational performance of the algorithm under the different frequency atom pool. The time-frequency analysis of the decomposed atomic banks shows that the method is less disturbed by the noise in the signal, and can extract the high-frequency information components from the signal effectively. Because of the serious electrical coupling between the two transmission lines, the fault types are complex and diverse. The previous fault location algorithms for double-circuit lines can not reflect the fault of the same name cross-line. On the basis of qualitatively comparing the classical phase mode transformation matrix, this paper summarizes and analyzes the shortcomings of the classical phase mode transformation matrix, and puts forward a fault type identification method based on two modules. This method can reflect all kinds of faults in double-circuit transmission lines, and the method of time-frequency atomic decomposition, which is the same as the T-type lines mentioned above, is used to extract the singularity points of the fault wave heads. PSCAD and MATLA are used to extract the singularity points of the fault wave heads. B / Simulink power system simulation software carries out a large number of simulation experiments on the algorithm. The simulation results show that the scheme is stable and accurate, and it is not affected by fault type, fault location, transition resistance and system operation mode.
【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM855

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本文編號：1404607