Evaluation Life Time of a Power Transformer Regarding to Electro-Thermal Stress

Transformers, as pivotal components in power transmission and distribution networks, play a vital role in ensuring network reliability and stability. The proper functioning of these devices directly impacts the network's efficiency and safety. However, the maintenance and replacement of faulty transformers can be both time-consuming and costly. Therefore, it is essential to implement preventive measures to mitigate these issues. This need has led to extensive research in transformer life cycle management. In this context, accurately estimating the remaining useful life of transformers has become a crucial component in developing preventive strategies and optimizing network performance. This article tries to examine and evaluate the governing equations and different methods of estimating the lifetime of the transformer. Among these methods, a study on the oils of power transformers at different ages based on the Arrhenius law. And also using a new algorithm to estimate the lifetime of the transformer through techniques based on artificial intelligence (AI) and finally a method based on changes in the lifetime of the transformer using the degree of polymerization.

کلیدواژه ها:

Power Transformer artificial intelligence ، polymerization ، Arrhenius law