Stochastic modeling of traction load of electrified railway

Jingwei Liu; Shaobing Yang

doi:10.1117/12.2637040

8 May 2022 Stochastic modeling of traction load of electrified railway

Jingwei Liu, Shaobing Yang

Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）; 122492W (2022) https://doi.org/10.1117/12.2637040
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 2022, Xiamen, China

Abstract

Stochastic evaluation of traction load of electrified railway is always a difficult problem in power supply calculation of electrified railway. The traditional analytical model is difficult to describe the random fluctuation in the operation process of electrified railway and lacks effective system nonlinear and non-ideal factor modeling methods, so it cannot obtain reliable dynamic simulation results of electrified railway traction load. In this paper, the key influencing factors of electrified railway traction load characteristics are defined as independent random variables and a random probability model is constructed from a statistical point of view. Using the existing measured data, the dynamic model of traction load probability including the influence of random factors is obtained through parameter identification and the results show that the model error meets the needs of practical engineering. The practical application example of the model in the operation scenario is given, which shows that the model can be well integrated into the existing power supply simulation system.

Citation Download Citation

Jingwei Liu and Shaobing Yang "Stochastic modeling of traction load of electrified railway", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 122492W (8 May 2022); https://doi.org/10.1117/12.2637040

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