基于行波分析的变压器绕组匝间短路故障定位

Inter-turn short-circuit fault location for transformer winding based on traveling wave analysis

针对变压器绕组匝间轻微短路故障定位问题,本文提出基于行波分析的故障定位方法。该法在绕组线端输入低压脉冲以获取行波反射信号,基于相关系数和SG滤波的改进EEMD降噪法降低噪声对行波的干扰,分别采用相似度分析法与能量比值法分析行波,得到大致随故障位置单调变化的故障特征集,再结合遗传神经网络建立起故障特征与故障位置的映射关系,实现匝间短路故障定位。仿真和样本实验结果表明了本文方法的可行性。

Aiming at the problem of fault location of transformer winding tiny inter-turn short circuit, this paper presents a fault location method based on traveling wave analysis. The low voltage impulse is injected on the winding terminals to obtain the reflected signal of the traveling wave, which is de-noised with the improved ensemble empirical mode decomposition（EEMD） de-noising method based on cor- relation coefficients and Savitzky-Golay（SG） filtering to reduce the noise jamming to the traveling wave; then, the similarity analysis and energy ratio method combining dual-tree complex wavelet transform （DT-CWT） and uniform incidence degree algorithm are adopted to analyze the traveling wave; and the fault feature set of the traveling wave, which monotonously changes with the fault location on the whole, is obtained. Finally, the genetic neural network is used to establish the mapping relation between fault characteristics and fault location, and the inter-turn short-circuit fault location is achieved. The simulation and sample experiment results show the feasibility of the proposed method.