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配电线路是钢铁企业电力系统的命脉,也是发生故障最多的地方。目前,钢铁企业配电线路故障定位大多数采用故障录波装置和双端行波故障定位装置,普遍存在定位精度差的问题。针对钢铁厂环境下配电线路故障信号扰动多的特征,提出在原有行波法故障定位装置硬件滤波的基础上,采用Daubecies小波变换软件滤波的方法对故障信号平滑消噪和故障信号奇异点准确识别。Matlab仿真结果表明,采用该方法进行平滑消噪效果好,信号奇异点检测精度高,提高了配电线路故障定位装置的定位精度。
Distribution lines are the lifeblood of the iron and steel industry’s power system, but also the place where faults occur most. At present, most of the fault locating of distribution lines in steel enterprises use fault recorder and double-terminal traveling wave fault location device, which has the problem of poor positioning accuracy. Aiming at the characteristics of disturbances of distribution line fault signals in steel plant environment, this paper proposes a new method of Daubecies wavelet transform software filtering based on the hardware filtering of the original traveling wave fault location device to smooth the noise of the fault signal and correct the singularity of the fault signal Recognize. Matlab simulation results show that the proposed method performs smoothing and noise reduction, and the signal singularity detection accuracy is high, which improves the positioning accuracy of the fault location device of distribution line.