直流线路故障的快速、可靠识别是基于模块化多电平换流器(modular multilevel converter,MMC)的柔性多端直流输电(multi-terminal direct current,MTDC)系统发展的关键技术之一。通过分析柔性多端直流系统线路故障后电流的暂态特征,提...直流线路故障的快速、可靠识别是基于模块化多电平换流器(modular multilevel converter,MMC)的柔性多端直流输电(multi-terminal direct current,MTDC)系统发展的关键技术之一。通过分析柔性多端直流系统线路故障后电流的暂态特征,提出了一套基于单端电流模量分析的MMC-MTDC系统直流线路故障识别方案。该方案通过对电流一模故障分量动态偏差值极值极性与大小的检测实现了直流线路故障快速定位,并利用故障后电流零模故障分量的差异,从而实现了对故障极的快速判别。在PSCAD仿真平台上搭建了双极四端MMC型柔性直流电网的模型,通过仿真算例验证了该保护在不同故障位置和过渡电阻下均能快速、可靠地检测到直流线路故障并且准确识别故障极。展开更多
The new techniques were presented for preventing undesirable distance relay maloperation during voltage collapse and power swings in transmission grids. Initially, the work focused on the development of a fast detecti...The new techniques were presented for preventing undesirable distance relay maloperation during voltage collapse and power swings in transmission grids. Initially, the work focused on the development of a fast detection of voltage collapse and a three-phase fault at transmission lines by using under impedance fault detector (UIFD) and support vector machine (SVM). Likewise, an intelligent approach was developed to discriminate a fault, stable swing and unstable swing, for correct distance relay operation by using the S-transform and the probabilistic neural network (PNN). To illustrate the effectiveness of the proposed techniques, simulations were carried out on the IEEE 39-bus test system using the PSS/E and MATLAB software.展开更多
文摘直流线路故障的快速、可靠识别是基于模块化多电平换流器(modular multilevel converter,MMC)的柔性多端直流输电(multi-terminal direct current,MTDC)系统发展的关键技术之一。通过分析柔性多端直流系统线路故障后电流的暂态特征,提出了一套基于单端电流模量分析的MMC-MTDC系统直流线路故障识别方案。该方案通过对电流一模故障分量动态偏差值极值极性与大小的检测实现了直流线路故障快速定位,并利用故障后电流零模故障分量的差异,从而实现了对故障极的快速判别。在PSCAD仿真平台上搭建了双极四端MMC型柔性直流电网的模型,通过仿真算例验证了该保护在不同故障位置和过渡电阻下均能快速、可靠地检测到直流线路故障并且准确识别故障极。
文摘The new techniques were presented for preventing undesirable distance relay maloperation during voltage collapse and power swings in transmission grids. Initially, the work focused on the development of a fast detection of voltage collapse and a three-phase fault at transmission lines by using under impedance fault detector (UIFD) and support vector machine (SVM). Likewise, an intelligent approach was developed to discriminate a fault, stable swing and unstable swing, for correct distance relay operation by using the S-transform and the probabilistic neural network (PNN). To illustrate the effectiveness of the proposed techniques, simulations were carried out on the IEEE 39-bus test system using the PSS/E and MATLAB software.
