State Evaluation of Electronic Transformers Based on Cross Weight Method AHP

Abstract

This paper focuses on the problems of frequent faults, abnormal events, and the lack of operational state evaluation means for electronic transformers. Based on a large amount of equipment operation and state data, a cross weight method, namely Analytic Hierarchy Process (AHP), which is driven by experts’ experience and data, is proposed in this paper. This method solves the problem of single factor and low accuracy in the traditional status evaluation method for electronic transformers. In this method, the influence factors and comment sets are established according to the experience of experts and the operation standards. For the construction of weight matrix, a cross-weight method is innovatively proposed. Through a subjective weight assignment of fuzzy trigonometric numbers based on experts’ experience and objective variable weights based on data, the accuracy of the state assessment of electronic transformer is improved. Finally, the proposed method is verified using an example, which shows that it can effectively improve the speed and accuracy of the state evaluation of electronic transformers.