In high-speed railway operations, disturbances from external environments and inherent control delays make it difficult to follow the optimal curve in the actual control process, which poses challenges for applying the proposed energy-efficient driving strategies in Automatic Train Operation (ATO) systems. To address issues for existing industrial speed tracking controllers, this paper proposed a PI controller with a feedforward compensation method based on optimization algorithms (OPFPI), incorporating the Smith predictor to mitigate the effects of control delays. A simulation model based on Simulink is developed to simulate the energy-saving and speed-tracking effects during actual train operations. Simulation results demonstrate that considering the inclusion of the feedforward compensator enables better tracking of the target trajectory and exhibits significant energy-saving benefits.