Application of Big Data Technology in Protection Channel Interruption Analysis and Breaker Defect Identification

Abstract

Microcomputer protection indicated the protection device enter the intelligent era. Over years’ operation, a huge amount of data has been accumulated. Unfortunately, mass data has not been used effectively. The development of Internet technology brings protection into information age. Two typical applications are presented in this paper. One is abnormal protection channel interruption analysis; the other is breaker defect identification. Combining the data of the Protection and Fault Recorder Management System (PFRMS) with the data of the Communication Network Management System (CNMS), abnormal interruption analysis of the protection channel is studied in this paper. It effectively extracts the channel anomaly events that need to be focused on by the protection engineer. As for breaker defect, the characteristics of each time link in the fault isolation process are analyzed. The wavelet transform is used to capture the separation moment of the contact. The arc extinguishing time is analyzed to evaluate the arc extinguishing chamber. By cluster analysis, each time duration of fault isolation is calculated, the abnormal points differ from others can be found out easily, which means there is an abnormality in the secondary circuit of the breaker.