高压直流远距离输电线路多脉冲源耦合故障定位方法研究
本文选题:高压直流输电 + 分布式多脉冲源 ; 参考:《哈尔滨理工大学》2017年硕士论文
【摘要】:近年来,高压直流输电发展迅速,远距离大容量输电线不断增加,故障种类和故障几率也随之增加,线路故障点定位的不准确性将会延长维修时间,从而延长线路断电时间,造成严重的经济损失。因此,快速与准确的检测输电线路故障点对保证大容量高压直流输电的可靠性和稳定性以及用户用电质量具有重要意义。电磁波在远距离输电线路中传播时,输电线路可等效为长线;当电磁波在长线模型中传播遇到阻抗不匹配点时会产生反向传播的反射波,据此本文提出了适用于高压直流远距离输电线路故障检测与定位的分布式多脉冲源耦合故障检测与定位的新方法。将多个分布式信号发生装置产生的信号注入直流输电线路中,通过信号接收检测装置从直流输电线路检测反射波信号,数据处理终端分析所述反射波信号的特征,根据一组反射波信号判断直流输电线路是否发生故障,并通过耦合运算确定故障发生位置。仿真结果表明,对于高压远距离直流输电线路的故障,采用分布式多脉冲源耦合故障检测与定位方法对其进行检测,得到的波形辨识程度高,故障波形清晰,可以准确识别高压远距离输电线路中的各类故障并检测故障距离。为了确定反射脉冲起始点,提高线路故障定位精度,采用小波分析法对脉冲波头时刻及反射波波头时刻进行标定,得到较为准确的波头时刻。将通过小波分析确定的波头时刻作为输入,故障距离作为输出,用BP神经网络算法进行建模与训练,最终得到合理的BP神经网络故障定位模型。分布式多脉冲源耦合故障检测与定位方法能够有效的提高高压远距离直流输电线路的故障定位的准确率,能够在线监控高压远距离直流输电线路的故障并提高故障判断的的可靠性和故障定位的精确性,保障电力系统安全稳定运行。
[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.
【学位授予单位】:哈尔滨理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM755
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