Site assessment of transformer state based on individual Raman spectrum equipment

Abstract

The transformer is the pivotal equipment in the power system, and its operating conditions are critical to the entire power grid, so it is important to evaluate its state in a timely manner. A method of site assessment of transformer state by using individual Raman spectrum equipment was presented in this paper. First, transformer oil samples containing different health states were collected by accelerated thermal aging tests and field sampling. The oil samples were then subjected to Raman testing and the Raman spectral features that can reflect the transformer state were extracted based on multidimensional scaling analysis (MDS). The evaluation model of transformer condition based on Raman spectra of insulating oil was constructed by random forest (RF), and the evaluation accuracy was higher than 90% for 20 actual samples. The results of this paper can provide technical support for intelligent operation and maintenance of substations.