Research on Condition Monitoring and Evaluation Method of Power Transformer

Aiming at the subjective limitations of the traditional condition monitoring and evaluation methods for the power transformer, the condition assessment method of the transformer state based on the dynamic gray target theory is used to evaluate and diagnose the operating condition and the fault mode of the transformer. The probabilistic reasoning mechanism based on the distance measurement is constructed, and the electrical testing data and the oil chromatography analysis data are fused. That improves the credibility of the transformer´s condition evaluation and fault diagnosis. The transformer´s condition assessment simulation system is developed to achieve the measurement control of the transformer´s partial discharge, the measurement control of the core´s grounding current, the measurement control of the gas and micro-water in oil, and the measurement control of the oil temperature. On this basis, the evaluation results can accurately reflect the health state in the functional units of the transformer and the overall, so as to predict and prevent the faults, arrange reasonably the maintenance planning and focus.