Modeling Method and Application of Metro Power Supply System Based on Digital Twin

The urban rail transit power supply system is an important part of urban rail transit, and its digital and intelligent construction is an important direction to promote the construction of smart cities in my country. This paper firstly introduces the current research status of subway power supply system intelligence and the concept of digital twin technology. Secondly, it models the traction load and dynamic lighting load of the subway power supply system, and proposes a digital twin- based subway power supply system model and its Technical architecture, under the real-time interaction of information and data-driven, the suspicious parameter identification algorithm based on Lagrangian multiplier is used to realize the identification and correction of model parameters. Finally, the digital twin of the subway power supply system is analyzed from the aspects of state evaluation and remaining power supply capacity analysis. Analysis of the application scenarios of the subway has important practical significance for the operation decision-making and design optimization of the subway power supply system.