An improved multi-step prediction control algorithm for urban rail hybrid energy storage system

An improved multi-step prediction control algorithm for urban rail hybrid energy storage system

Blog Article

For the traditional PI controlled urban rail hybrid energy storage system, there are problems such as cumbersome parameter adjustment and lag in response to train start and stop conditions.An improved multi-step prediction control algorithm for urban rail hybrid energy storage system was proposed in this paper.The multi-step predictive current control loop was used to replace the traditional PI current inner loop to avoid the prediction error defect of single-step prediction and improve the dynamic response speed of the system.For the problem of large current ripple Folding Tactical caused by non-zero equivalent duty cycle in the predicted current algorithm, the current fluctuation range at the optimal switching time was calculated in real time, and the switching action time was updated online.Finally, a hybrid energy storage system model for urban rail trains was built on the MATLAB/Simulink platform.

The simulation results show that under the conditions of train acceleration and braking, the network voltage recovery time is reduced by 0.543 s and 0.644 s respectively, the overshoot is reduced by 5.98% and 4.83%, and the change rate of current ripple is significantly improved, which verifies the correctness and superiority of Vase the strategy proposed in this paper.