Analysis of digital twin application of urban rail power supply system for energy saving

Abstract

Energy saving analysis and control of urban rail traction power supply system are usually based on the traditional model driven method. However, due to the shortcomings of ideal conditions, off-line modeling and single mechanism, the traditional model driven method greatly limits the accuracy and timeliness of the model, which is difficult to assist operation and can only be applied to the design stage. As the representative of modern intelligent high-precision modeling and simulation methods, Digital Twin (DT) integrates many advanced technologies, such as Internet of things, high-speed communication, big data analysis and intelligent algorithm, which can fundamentally solve the inherent defects of traditional models. In this paper, the demand of traction power supply system for DT technology was analyzed, and the application mode of DT in energy saving was explored comprehensively. According to the actual characteristics of urban rail transit system, a DT architecture was proposed, and the key technologies of multiphysics modeling and data-driven was analyzed. DT of traction power supply system of urban rail transit will improve the real-time and effectiveness of energy-saving comprehensive analysis and control.