Traction Load Modeling and Parameter Identification Based on Improved Sparrow Search Algorithm

In this paper, a traction load model parameter identification method based on the improved sparrow search algorithm (ISSA) is proposed. According to characteristics of AC power supply system under transient disturbance, structure equated composite static shunt induction motor’s dynamic load. The traditional enhance its accuracy and convergence. generalization ability was tested, proposed verified. Using ISSA determine from measured data, results can verify effectiveness for comprehensive identification. Comparing with SSA PSO algorithms, it shows that has better