基于形态学骨架的变压器差动保护

改善变压器差动保护的性能长期以来得到较多关注。提出了基于形态学骨架的变压器差动保护新方案,该方案包括两个部分,分别在两个不同的自适应数据窗中计算差动电流波形的形态学骨架,并根据骨架的不同特征来识别内部故障和扰动(励磁涌流、外部故障)。第一部分致力于快速识别大多数内部故障与扰动,而第二部分在一些特殊情况下作为第一部分的后备,确保故障识别的准确性。通过PSCAD/EMTDC仿真与动模实验验证了该方案的快速性与可靠性。

Morphological Skeleton Based Differential Protection for Power Transformers

Improving the performance of differential protection for power transformers has been drawing lots of concerns of researchers and engineers in the field of power engineering. This paper proposes a novel differential protection scheme based on morphological skeleton(MS)for power transformers. The proposed scheme consists of two parts which are respectively implemented in two adaptive data windows to calculate the MS of differential current waveform. It employs different features of the skeleton points to distinguish internal faults from disturbances(magnetizing inrush current and external fault). The first part aims to identify internal faults and disturbances as soon as possible under most conditions, while the second part acts as a backup of the first part under some extreme conditions so as to ensure the accuracy. The PSCAD/EMTDC simulation and laboratory experiment demonstrate that the proposed scheme is fast and reliable.