Least square algorithm for correcting high voltage arc edge discharge parameters
The catenary system is a critical component of the electric traction power supply infrastructure; it is tasked with the stable conveyance of current to electric locomotives. As the catenary lacks a backup system, it experiences an increased incidence of arcing and dust accumulation during operation....
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| Language: | English |
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Tsinghua University Press
2025-06-01
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| Series: | Journal of Highway and Transportation Research and Development |
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| Online Access: | https://www.sciopen.com/article/10.26599/HTRD.2025.9480064 |
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| author | Zhixin Ou |
| author_facet | Zhixin Ou |
| author_sort | Zhixin Ou |
| collection | DOAJ |
| description | The catenary system is a critical component of the electric traction power supply infrastructure; it is tasked with the stable conveyance of current to electric locomotives. As the catenary lacks a backup system, it experiences an increased incidence of arcing and dust accumulation during operation. This can lead to fluctuations in power quality, particularly when arc edge discharge conditions are met under specific climatic circumstances, which are able susceptible to arc ignition. Such occurrences can severely compromise the structural integrity of the catenary equipment and disrupt the geometric parameters of the system. Firstly, the paper analyzes the nonlinear output characteristics of catenary safety features and edge discharge parameters within the system model. The least squares method is employed to identify the nonlinear model and to optimize error parameters in real-time. Secondly, transient overcurrent parameters and the characteristics of catenary equipment, including edge discharge and arc-induced pollution flashover, are simulated using specialized simulation software. Lastly, by comparing the simulation results with the real-time operational curves of the experimental equipment, the study concludes theoretically that parameter optimization based on the least squares method offers the most effective means of stable and adaptive adjustment for model identification. |
| format | Article |
| id | doaj-art-6b88edefbdbd46a49022517d8341e435 |
| institution | Kabale University |
| issn | 2095-6215 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Journal of Highway and Transportation Research and Development |
| spelling | doaj-art-6b88edefbdbd46a49022517d8341e4352025-08-20T03:29:31ZengTsinghua University PressJournal of Highway and Transportation Research and Development2095-62152025-06-01192687210.26599/HTRD.2025.9480064Least square algorithm for correcting high voltage arc edge discharge parametersZhixin Ou0Department of Urban Rail Transit and Information Engineering, Anhui Communications Vocational & Technical College, Hefei, Anhui 230051, ChinaThe catenary system is a critical component of the electric traction power supply infrastructure; it is tasked with the stable conveyance of current to electric locomotives. As the catenary lacks a backup system, it experiences an increased incidence of arcing and dust accumulation during operation. This can lead to fluctuations in power quality, particularly when arc edge discharge conditions are met under specific climatic circumstances, which are able susceptible to arc ignition. Such occurrences can severely compromise the structural integrity of the catenary equipment and disrupt the geometric parameters of the system. Firstly, the paper analyzes the nonlinear output characteristics of catenary safety features and edge discharge parameters within the system model. The least squares method is employed to identify the nonlinear model and to optimize error parameters in real-time. Secondly, transient overcurrent parameters and the characteristics of catenary equipment, including edge discharge and arc-induced pollution flashover, are simulated using specialized simulation software. Lastly, by comparing the simulation results with the real-time operational curves of the experimental equipment, the study concludes theoretically that parameter optimization based on the least squares method offers the most effective means of stable and adaptive adjustment for model identification.https://www.sciopen.com/article/10.26599/HTRD.2025.9480064catenaryleast square methodedge dischargemodel identification and correctionmatlab modeling and simulation |
| spellingShingle | Zhixin Ou Least square algorithm for correcting high voltage arc edge discharge parameters Journal of Highway and Transportation Research and Development catenary least square method edge discharge model identification and correction matlab modeling and simulation |
| title | Least square algorithm for correcting high voltage arc edge discharge parameters |
| title_full | Least square algorithm for correcting high voltage arc edge discharge parameters |
| title_fullStr | Least square algorithm for correcting high voltage arc edge discharge parameters |
| title_full_unstemmed | Least square algorithm for correcting high voltage arc edge discharge parameters |
| title_short | Least square algorithm for correcting high voltage arc edge discharge parameters |
| title_sort | least square algorithm for correcting high voltage arc edge discharge parameters |
| topic | catenary least square method edge discharge model identification and correction matlab modeling and simulation |
| url | https://www.sciopen.com/article/10.26599/HTRD.2025.9480064 |
| work_keys_str_mv | AT zhixinou leastsquarealgorithmforcorrectinghighvoltagearcedgedischargeparameters |