Research on Transformer State Evaluation Method Based on Fuzzy Evidence Reasoning

Correctly grasping the operating status of power equipment, implementing state assessment, and conducting effective fault diagnosis are the key to the success of state maintenance. However, each type of power equipment is an extremely complex system with numerous characteristic quantities that characterize its state, and the state information has uncertainty and fuzziness, making it difficult to achieve effective and accurate evaluation of the operating status of power equipment. This article takes transformers as the object, introduces the principles for determining state evaluation indicators, and selects oil chromatogram analysis, electrical testing, oil chemical testing, transformer accessories, and operation inspection records to establish a state evaluation index system that reflects the operating status of transformers. Subsequently, fuzzy membership functions and fuzzy logic for each indicator are designed, and a state evaluation model that combines fuzzy and evidence reasoning is established by combining evidence reasoning theory, Taking the preventive test data of a 220kV transformer as an example, the state evaluation model designed in this paper was tested, and the results showed that the evaluation results of fusion evidence reasoning have higher credibility.