A Model for Condition Assessment of Power Transformers Based on Fuzzy Theory

This paper presents a new model based on the fuzzy approach to condition assessment of power transformers. An assessing index system, including the DGA data, electrical testing and oil testing, is established to facilitate the assessing model. It established membership functions of the qualitative indexes and quantitative indexes by using of fuzzy statistical test method and fuzzy distribution method. This work improved the analytical hierarchy process (AHP), and determines the weight of each index all levels without Consistency validation.