An integral model for reading and statistical analysis of traction rolling stock load graphs

This paper describes a computer model implemented within the SimInTech software package. The model imports traction current load data from the Fazanord and KORTES software packages, converts these signals into equivalent load resistances and consumed power values, and performs a statistical analysis of the resulting time-series load profiles. It was developed to enable simulation of the traction power supply system in SimlnTech in operational modes that include factors not previously modelled, such as automatic voltage regulation via an on-load voltage regulator (OLVR). However, traction load modelling is a labor-intensive and complex process. Therefore, validated outputs from Fazanord and KORTES were used to supply traction load inputs. The described programmes export traction calculation results to a .txt file, which is subsequently imported into SimInTech. During these computations, a statistical analysis of load-curve uniformity was also performed. The model was constructed using standard SimInTech blocks alongside programmable blocks, where the conditions and formulas required for the computations were implemented in a proprietary scripting language. Mulitple computational scenarios were performed within the model, including a trial run to assess the accuracy of its calculations. The created model functions as an intermediate tool for addressing issues related to improving the performance and extending the service life of on-load voltage regulators operating automatically in traction-power supply systems. Objective: to develop a model in the SimInTech software package capable of converting traction load-current values from the KORTES and Fazanord software packages into equivalent resistance and power values for subsequent use in modelling and statistical analysis. Results: a computer model was created in the SimInTech software package that receives current load values from .txt files and converts them into equivalent resistance values. The model also computes key performance metrics that can be utilized to describe the load curve’s homogeneity. Practical significance: the computer model provides statistical analysis of the load curve and allows current load to be converted into resistance for further use in modelling dynamic traction power supply systems.