Work

Computational cost reduction in electric traction network modelling and simulation

Year: 2025

Type: article

Abstract: This article presents a comparative study between a newly developed electric traction grid modelling methodology and an earlier modular approach verified in the literature. A statistical analysis of simulation times from 44,000 runs demonstrates the significant computational cost reduction achieved with the proposed advanced circuit-based modelling method. In combination with its proven spatial precision, this efficiency makes the methodology particularly suitable for real-time applications. The enhanced computational performance also supports the model's potential for future integration of energy storage systems and other sustainable technologies into electric traction grids. • Study of novel traction grid models reveals key sources of computational effort. • Optimised method shows notable reduction in execution time for large, meshed grids. • Optimised method's real-time potential suits monitoring for sustainable grids.

Source: Results in Engineering

DOI: 10.1016/j.rineng.2025.107702

Authors: Riccardo Barbone, Riccardo Mandrioli, Vincenzo Cirimele, Mattia Ricco

Institution: University of Bologna

Language: English

Topic: Railway Systems and Energy Efficiency

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: gold

Estimated APC paid: $1,940