基于小波熵优化的高压电缆局部放电信号降噪算法研究

Noise suppression method of partial discharge signal on high voltage cable online monitoring system based on wavelet entropy

高压电缆是电力传输的重要设备,由于电缆的绝缘在线监测系统在所处环境的影响下,采集到的局部放电脉冲信号往往含有大量噪声。针对以上问题,提出一种基于小波变换的熵值优化算法,详尽介绍该算法的降噪原理,这种方法不但可以高效处理掉局部放电脉冲信号中的噪声信号,并且能非常完整的保存PD信号的完整性。通过实验室模拟实验以及进行现场试验,从中得到的波形及信噪比可以看出该算法在实际情况中有优良的降噪能力,证实了该算法的可行性和可靠性。

The high-voltage cable is an important device for power transmission. Due to the influence of the environment, the collected partial discharge(PD) pulse signal often contains a lot of noise. Aiming at the above problems, this paper proposes a wavelet entropy optimization algorithm. The noise reduction principle of the algorithm is introduced in detail in this paper. This method not only can effectively process the noise signal in the partial discharge pulse signal, but also can completely preserve the integrity of the PD signal. Through the laboratory simulation experiment and the field test, the waveform and signal-to-noise ratio obtained from it can be seen that the algorithm has excellent noise reduction ability in the actual situation, which proves the feasibility and reliability of the algorithm.