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机构地区:[1]沈阳工程学院,辽宁沈阳100136 [2]河南省电力公司三门峡供电公司,河南三门峡472000 [3]华北电力大学电气与电子工程学院,河北保定071003
出 处:《电力系统保护与控制》2014年第3期116-121,共6页Power System Protection and Control
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.
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
分 类 号:TM721.1[电气工程—电力系统及自动化]
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