基于CEEMDAN-EDO的行波波头标定算法研究

Research on traveling wave head detecting algorithm based on CEEMDAN-EDO

为解决采用暂态行波对电力线路进行故障定位时,行波波头不易标定的问题,提出一种采用自适应噪声的完备集合经验模态分解与包络导数能量算子相结合的波头标定算法。首先,依据实际行波信号的特点建立故障电压行波模型;其次,采用自适应噪声的完备集合经验模态分解故障信号,从中提取高频固有模态函数分量;然后利用包络导数能量算子增强波头突变特征,最终精确标定行波波头到达测量端的时刻。Matlab仿真结果表明:所提出的方法能够精确有效地检测到行波波头,具有可行性。采用现场故障录波数据验证,结果表明:该文波头标定方法的判定时间误差小于1μs,证明其有效性。

In order to solve the problem that the line wave head is not easy to de-label when using transient wave to fault position the power line,a wave head calibration algorithm combining the complete ensemble empirical mode decomposition with adaptive noise and the envelope derivative operator is proposed.First,the model of voltage wave is established according to the actual characteristics of traveling wave signal.Second,CEEMDAN is used to decompose fault signals and extract high frequency intrinsic mode function components.Third,the envelope derivative operator is used to enhance the transient characteristics of the wave head.Finally,the time of the wave head arriving at the measurement end can be precisely determined.Matlab simulation results show that the proposed method can accurately and effectively detect the traveling wave head and is feasible.Using field fault recorder data to verify,the results show that:the judgment time error of the wave head calibration method in this paper is less than 1μs,which is effective.