A Transformer Health State Assessment Method Based on Multi-Dimensional Deep Correlation Relationship Analysis

As one of the core equipments of the power system, the stability of transformer health state is directly related to the secure and stable operation of the power system. At present, most of the transformer health assessment only relies on the single dimension of the target transformer's own state quantity. Neglecting the different correlations between different operating states of neighbouring transformers on the changes in the transformer state, it is impossible to carry out an accurate state assessment of the transformer. In this paper, we propose a transformer health state assessment method based on multidimensional in-depth correlation analysis. Combine the primary wiring diagram of the station to mine the relationship between the nodes of each transformer. Find transformers that have adjacent relationships with the target transformer, and analyse the multi-dimensional connections between them to assess the transformer health state in depth.