Intelligent Operation and Maintenance Direction of the DC System

In DC systems, power electronic equipment is an important component. Currently, the reliability and stability of DC systems are still important technical difficulties. Developing a reliable and efficient intelligent operation and maintenance (IOM) system is crucial for improving the operational efficiency and stability of DC systems. This article mainly introduces an IOM solution for DC systems based on artificial intelligence (AI) technology, which realizes intelligent diagnosis and predictive maintenance of power electronic equipment, and provides new ideas and methods for improving the stability and reliability of DC systems. This article uses experimental and comparative methods to compare the battery resistance at different periods for analysis. The experimental data show that in this experiment, the resistance anomaly at the third node is the most obvious. By building an experimental platform and collecting, analyzing, and processing experimental data, IOM functions for the DC system can be achieved, including fault diagnosis, predictive maintenance, operation management, and optimization.