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. 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.