变压器励磁涌流中的信息熵识别-电力系统保护与控制.pdfVIP

第 45 卷 第 12 期 电力系统保护与控制 Vol.45 No.12 2017 年6 月16 日 Power System Protection and Control Jun. 16, 20 17 OI: 10.7667/PSPC160917 变压器励磁涌流中的信息熵识别 张召峰，孙庆森，张海峰，王 猛 (国网泰安供电公司，山东 泰安 271000) 摘要：针对励磁涌流具有间断角的尖顶波和故障电流以正弦波为主， 分利用两种不同波形下具有不同的电流能 量熵值，提出了基于信息熵的变压器励磁涌流识别方法。该方法对变压器电流离散采样后进行差分滤波，设置启 动电流后计算电流能量熵，通过 自适应阈值有效地识别是否发生励磁涌流。仿真结果表明，该方法不仅能有效地 区分故障电流和励磁涌流，而且可以进一步判别电流的饱和程度。 关键词：变压器；励磁涌流；信息熵；识别；自适应阈值 Identification of information entropy in transformer inrush current ZHANG Shaofeng, SUN Qingsen, ZHANG Haifeng, WANG Meng (State Grid Taian Power Supply Company, Taian 27 1000, China) Abstract: Since inrush current has the steeple wave with intermittent angle and the faulted current is based on the sine wave, there are different values of current power entropy. To fully use this characteristic, the information entropy to identify the inrush current of transformers is proposed. Transformer current experiences discrete sampling and differential filtering successively in the method. Starting current is set to compute entropy of current power. And then the adaptive threshold is used to identify inrush current. The simulation results demonstrate the method not only effectively identifies inrush current and faulted current, but also identifies the degree of current saturation. Key words: transformer; inrush current; information entropy; identification; adaptive threshold 流方面仍然不尽如人意[3-6] 。 0 引言