本文選題：高壓直流輸電 + 分布式多脈沖源�。� 參考：《哈爾濱理工大學》2017年碩士論文

【摘要】：近年來,高壓直流輸電發(fā)展迅速,遠距離大容量輸電線不斷增加,故障種類和故障幾率也隨之增加,線路故障點定位的不準確性將會延長維修時間,從而延長線路斷電時間,造成嚴重的經濟損失。因此,快速與準確的檢測輸電線路故障點對保證大容量高壓直流輸電的可靠性和穩(wěn)定性以及用戶用電質量具有重要意義。電磁波在遠距離輸電線路中傳播時,輸電線路可等效為長線;當電磁波在長線模型中傳播遇到阻抗不匹配點時會產生反向傳播的反射波,據此本文提出了適用于高壓直流遠距離輸電線路故障檢測與定位的分布式多脈沖源耦合故障檢測與定位的新方法。將多個分布式信號發(fā)生裝置產生的信號注入直流輸電線路中,通過信號接收檢測裝置從直流輸電線路檢測反射波信號,數據處理終端分析所述反射波信號的特征,根據一組反射波信號判斷直流輸電線路是否發(fā)生故障,并通過耦合運算確定故障發(fā)生位置。仿真結果表明,對于高壓遠距離直流輸電線路的故障,采用分布式多脈沖源耦合故障檢測與定位方法對其進行檢測,得到的波形辨識程度高,故障波形清晰,可以準確識別高壓遠距離輸電線路中的各類故障并檢測故障距離。為了確定反射脈沖起始點,提高線路故障定位精度,采用小波分析法對脈沖波頭時刻及反射波波頭時刻進行標定,得到較為準確的波頭時刻。將通過小波分析確定的波頭時刻作為輸入,故障距離作為輸出,用BP神經網絡算法進行建模與訓練,最終得到合理的BP神經網絡故障定位模型。分布式多脈沖源耦合故障檢測與定位方法能夠有效的提高高壓遠距離直流輸電線路的故障定位的準確率,能夠在線監(jiān)控高壓遠距離直流輸電線路的故障并提高故障判斷的的可靠性和故障定位的精確性,保障電力系統(tǒng)安全穩(wěn)定運行。
[Abstract]:In recent years, with the rapid development of HVDC transmission and the increasing of long-distance and large-capacity transmission lines, the types of faults and the probability of faults also increase. The inaccuracy of location of fault points will prolong the maintenance time, thus prolonging the power failure time of the lines. Cause serious economic losses. Therefore, rapid and accurate detection of transmission line fault points is of great significance to ensure the reliability, stability and power quality of large capacity HVDC transmission. When the electromagnetic wave propagates in the long-distance transmission line, the transmission line can be equivalent to the long line, and when the electromagnetic wave propagates in the long line model, the reflection wave will be produced when the impedance mismatch is encountered. Based on this, a new method of distributed multi-pulse source coupling fault detection and location for HVDC transmission line fault detection and location is proposed in this paper. The signal generated by a plurality of distributed signal generating devices is injected into a DC transmission line, and the reflected wave signal is detected from the DC transmission line by a signal receiving and detecting device, and the characteristics of the reflected wave signal are analyzed by a data processing terminal. According to a set of reflected wave signals, the fault of HVDC transmission line is judged, and the fault location is determined by coupling operation. The simulation results show that the distributed multi-pulse source coupled fault detection and location method is used to detect the faults of HVDC transmission lines. The waveform identification degree is high and the fault waveform is clear. All kinds of faults in high voltage long distance transmission line can be accurately identified and fault distance can be detected. In order to determine the starting point of reflection pulse and improve the accuracy of fault location, wavelet analysis was used to calibrate the time of pulse wave head and reflected wave head, and the more accurate time of wave head was obtained. The time of wave head determined by wavelet analysis is taken as input and fault distance is taken as output, and BP neural network algorithm is used to model and train. Finally, a reasonable fault location model of BP neural network is obtained. The distributed multi-pulse source coupled fault detection and location method can effectively improve the accuracy of fault location of HVDC transmission lines. It can monitor the faults of HVDC transmission line on-line and improve the reliability of fault judgment and the accuracy of fault location, so as to ensure the safe and stable operation of power system.
【學位授予單位】：哈爾濱理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM755

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本文編號：2013800