Research and Analysis on Energy Conservation and Reliability of Transformers Based on Improved YOLOX Algorithm under the Concept of Green Power
In the context of the concept of green power,in order to solve the problem of low efficiency and high energy consumption in traditional transformer monitoring,the study first made a series of improvements to the Eulox algorithm and integrated reinforcement learning algorithms to design a new transformer energy-saving model.The experimental results show that the energy consumption per unit time of 48 substations has been significantly reduced after applying this scheme,with an average value of about 4 210 KJ,a decrease of 8.76%compared to before application.In summary,the energy-saving optimization model for transformers proposed in the study has ad-vantages such as high reliability and low energy consumption,providing a new solution for the development of green economy.