A Transformer Operation State Assessment Method Based on Virtual and Real Symbiotic Data of Power Grid and Transformer

Transformer is one of the core of the power system. The assessment of transformer operating condition is important to understand the operating condition of the transformer and the power system operation. Most of the current transformer operating condition assessments rely only on transformer-related monitoring condition quantities, such as dissolved gases in the oil, micro-water in the oil, oil temperature, etc., or a combination of transformer environmental data, test-type condition quantities, and so on. However, the information of the transformer grid environment is ignored, and the transformer is independent from the grid. This leads to the problem of ignoring the actual operating conditions of the transformer when analyzing its operating status. This paper proposes a transformer operating state assessment method based on virtual and real symbiotic data of power grid and transformer. It integrates the virtual and real data related to power grid and transformer. Taking into account the transformer's own operating conditions and the actual operating conditions of the power grid, the accuracy of the transformer condition assessment is improved.