Determination of Power Transformers Health Index Using Parameters Affecting the Transformer’s Life

Abstract

Power transformers are one of the most important parts of a power system, and they are crucial to the system's reliability and energy quality. The “health index” idea is used in this research to evaluate and classify transformers based on their conditions in order to optimize transformer upgrading and replacement decisions. And the transformer is inspected and maintained from various angles by collecting the transformer’s health factor and utilizing the number of this indicator to determine when and how often the transformer should be inspected and maintained. Finally, the health index described in this paper is utilized to review and regularly classify transformers based on their states and improve the renovation replacement method by applying the fuzzy logic method to research this coefficient precisely. The fuzzy health index used in this work has the advantage of being able to be trained using past transformer data. When the training is complete, it can be applied to other transformers, with the goal of achieving optimal functioning for transformers while considering cost and dependability. The specific results of the present article indicate that the health index criterion presented in this article has a high degree of certainty regarding the selection, arrangement, and timing of maintenance and service steps in the evaluated transformers. In addition, when comparing the proposed method to the conventional method for seven sample transformers, the system availability index of the proposed method improved by about 40%.It also had about 25% higher reliability than the conventional method for 7 sample transformers.