Russian Federation
Russian Federation
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.
statistical analysis, load curve, traction power supply, computer modelling, SimInTech, KORTES, traction calculation
1. Komyakov A. A., Shkulov A. I., Bartel' L. A. Imitacionnoe modelirovanie dinamicheskih processov v sisteme tyagovogo elektrosnabzheniya // Izvestiya Transsiba. 2023. № 2 (54). S. 16–29.
2. Pilyaev V. S., Gukov P. O. Modelirovanie sistem elektrosnabzheniya s pomosch'yu programmy SimInTech // Molodezhnyy vektor razvitiya agrarnoy nauki: materialy 72-y nacional'noy nauchno-prakticheskoy konferencii studentov i magistrantov. Ch. I. Voronezh: Voronezhskiy gosudarstvennyy agrarnyy universitet imeni imperatora Petra I,021. S. 223–226.
3. Mitrofanov N. V., Pilyaev S. N. Modelirovanie sistemy elektrosnabzheniya v programme SimInTech // Molodezhnyy vektor razvitiya agrarnoy nauki: materialy 72-y nacional'noy nauchno-prakticheskoy konferencii studentov i magistrantov. Ch. I. Voronezh: Voronezhskiy gosudarstvennyy agrarnyy universitet imeni imperatora Petra I, 2021. S. 502–505.
4. German L. A., Kishkurno K. V. Regulirovanie napryazheniya v tyagovoy seti peremennogo toka zheleznyh dorog // Elektrichestvo. 2014. № 9. S. 23–34.
5. German L. A., German V. L. Avtomatizaciya elektrosnabzheniya tyagovoy seti peremennogo toka: monografiya. M.: MGUPS, 2014. 173 s.
6. Sovershenstvovat' regulirovanie napryazheniya na tyagovyh podstanciyah / L. A. German [i dr.] // Lokomotiv. 2012. № 5 (665). S. 45–46.
7. Kalandarov H. U., Miheev G. M, Efremov L. G. Primenenie pereklyuchayuschih ustroystv v elektroenergetike // Regional'naya energetika i elektrotehnika: problemy i resheniya: sb. nauch. tr. Vyp. 11. Cheboksary: Izd-vo Chuvash. un-ta, 2015. S. 129–138.
8. Tursunov D. A., Ismoilov I. K. Analiz voprosov primeneniya ustroystv regulirovaniya silovyh transformatorov // Universum. Tehnicheskie nauki: elektron. nauch. zhurn. 2020. № 8 (77). S. 68–75. 9. Nezevak V. L., Skokov R. B., Pavlova R. V. Primenenie imitacionnoy modeli tyagovoy podstancii postoyannogo toka dlya ocenki kachestva elektroenergii // Izvestiya Transsiba. 2025. № 1 (61). S. 36–48.
9. Kucyy A. P., Ovechkin I. S., Galkov A. A. Povyshenie propusknoy sposobnosti uchastka Yakurim — Kirenga dlya obespecheniya tyagi sdvoennyh elektropodvizhnyh sostavov massoy 14200 tonn // Molodaya nauka Sibiri. 2022. № 2 (16). S. 137–149.
10. Pyshkin A. A., Lesnikov D. V. Elektrosnabzhenie zheleznyh dorog: uchebnik. Ekaterinburg, 2023. 507 s.
11. Hudonogov I. A., Galkov A. A. Avtomaticheskoe upravlenie rezhimami elektroenergeticheskih sistem // Tehniko-ekonomicheskie problemy razvitiya regionov: materialy nauchno-prakticheskoy konferencii s mezhdunarodnym uchastiem. Irkutsk: Irkutskiy nacional'nyy issledovatel'skiy tehnicheskiy universitet, 2024. S. 227–230.
12. Spravochnaya sistema SimInTech (v12.11.2025). URL: https://help.simintech.ru/ (data obrascheniya 10.11.2025).
13. Khudonogov I. A., Puzina E. Y., Tuigunova A. G. The Use of "Technical Rigidity" Indices to Assess Climatic Factors Effects on Power Transformers Reliability // 2020 International Ural Conference on Electrical Power Engineering (UralCon). Chelyabinsk, 2020. Pp. 136–141, DOI: 10.1109/ UralCon49858.2020.9216258.
14. Fel'dman S. O., Yachkula N. I. Avtomaticheskoe regulirovanie napryazheniya v tyagovoy seti peremennogo toka // Lokomotiv. 2013. № 1 (673). S. 46–47.
