Research on operation state evaluation strategy of oil-immersed power transformer based on membership function of cloud model

According to the maintenance records, electrical tests, oil tests and other data of power transformers to evaluate its state, is the basis of the implementation of equipment maintenance. Aiming at the factors affecting the operation status of power transformers, this paper takes transformer electrical insulation test, oil test, oil chromatography test and the operation status of accessories as the evaluation indexes of equipment operation status. According to the importance of each performance index in the evaluation of equipment operation status, the weights of each performance index in transformer state evaluation are determined by the improved analytic hierarchy process (AHP) and the variable weight based on the equilibrium function. A strategy of transformer running state evaluation based on the membership function of cloud model is proposed by introducing cloud theory. Through case study, the method is proved to be effective and feasible, which provides a new method for transformer condition maintenance.