A Fast Automated Modeling and Simulation Method for Dynamic Metro Stray Currents

The distribution of metro stray currents is commonly calculated using CDEGS software. However, traditional dynamic simulation methods for stray currents in CDEGS involve considerable effort in establishing a series of static models. To improve calculation efficiency, this paper proposes a fast, automated method for modeling and simulating dynamic metro stray currents. In this method, the coordinates of the trains are derived based on the mathematical relationship between the metro line topology and the trains' mileage. Then, using a CDEGS script, a series of metro stray current models are generated, incorporating dynamic train operations. The rail potential results are then extracted from the software's output. Based on the rail potential and the operational strategies of the reflux devices, the switching states of these devices are determined and updated through iterative calculations involving rail potential and reflux device resistances. Finally, the simulation results of a series of models are spliced in chronological order to obtain the stray current distribution for the simulated time period. The model is validated by comparing the simulated rail potential data with actual test data. Furthermore, compared to traditional methods, the proposed approach demonstrates a remarkable 98% reduction in manual intervention, confirming its enhanced efficiency.