摘要
行波波速的选取和反射波头的识别是影响单端行波测距精度和可靠性的主要因素。基于故障行波的时频域特征,提出一种行波法和固有频率法相结合的单端故障测距算法。利用行波固有频率计算出故障点位置的粗略值,确定故障反射波达到母线测点的时间范围。利用集成经验模态分解算法提取的行波高频分量,对反射波头进行有效识别并获取测距所需的精确时间参数,同时将该高频分量对应的行波波速利用到行波测距中,解决了波速选取的难题。PSCAD仿真结果表明,该测距算法可有效识别行波波头,且测距的精度得到明显提高。
There are two main factors influencing the accuracy and reliability of single-ended traveling wave fault location, namely the determination of traveling wave velocity and the time when the reflected wave fronts arrives. A new fault location method based on the travelling wave＇s time- and frequency-characteristics combining with natural frequency is presented. It uses method based on natural frequency to calculate rough value of fault distance, and the time regions of reflected waves from fault point to detective bus are confirmed through the distance. Ensemble empirical mode decomposition is employed to extract the high-frequency component from traveling wave, recognize the reflected wave fronts and determine more accurate traveling wave time parameters. According to the propagation velocity of the frequency, the fault distance is calculated. The results of simulations by PSCAD show that the method proposed can effectively identify the initial traveling wave and improves the fault location accuracy obviously.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2014年第3期116-121,共6页
Power System Protection and Control
关键词
故障测距
行波
固有频率
集成经验模态分解
高压直流
fault location
traveling wave
natural frequency
ensemble empirical mode decomposition
HVDC
