A Novel Recognition and Repair Method of Abnormal Data of Current Transformer

Abstract

The abnormal sampling information of transformer will lead to maloperation of substation protection system. To solve this problem, an abnormal data recognition algorithm based on the waveform similarity is proposed in this paper, and the abnormal data is repaired by interpolation or replacing with substation area redundancy information, thus maloperation of protection system is avoided. The scheme can recognize the abnormal data accurately and quickly, and the abnormal data repair scheme will not reduce the operation time of the original protection. The feasibility of the scheme is verified by theoretical analysis and simulation results.