Real Time Health Evaluation Method of Transformer Based on Improved Grey Correlation Analysis

The health status of power equipment directly affects the safe and stable operation of power system. In view of the current situation that the health evaluation of power transformer depends too much on the guidelines, combined with the order relation method reflecting the subjective will of decision makers, this paper uses the ideal solution to improve the grey correlation analysis, calculates the positive and negative grey correlation degree, obtains the weighted comprehensive grey correlation degree of various faults and condition monitoring quantities of transformer, and selects the key indicators of condition evaluation by using the method of dynamic screening indicators, A reasonable and effective key index system reflecting the health of power transformer is established. The example analysis shows that the evaluation results obtained by using the state evaluation method in this paper have high reliability and are consistent with the actual fault situation. At the same time, by analyzing the transformer fault score, the tendency information of fault type can be obtained, which provides decision support for maintenance work.