This project aims to combine artificial intelligence theories and methods such as deep learning, machine learning, and data mining to study a new type of fault diagnosis and relay protection method for power systems. able sources such as wind and solar. These clean energy sources, connected through inverters and flexible transmission systems, are transforming traditional grids based on synchronous generators into more flexibl cant challenges to system stability. Feasibility of Intelligent Operation Control System of Relay Protection Big data technology promotes the continuous development and improvement of the power industry, plays an important role in improving the reform of the power industry and meeting the needs of modern society for electricity. Also. Abstract: Nowadays, existing fault diagnosis technologies have problems such as slow response speed, low accuracy, and weak adaptive ability. To prevent overfitting, this article can use a strictly separated set of training and testing samples to train the model. This paper explores the development of relay protection technology in smart grids, analyzing.
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