OESS+SESS in rail transit

The transition towards environmentally friendly transportation solutions has prompted a focused exploration of energy saving technologies within railway transit systems. Energy Storage Systems (ESS) in railway transit for Regenerative Braking Energy (RBE) recovery has gained prominence in the pursuit of sustainable transportation solutions. In order to achieve the dual-objective optimization of energy saving and investment, this paper proposes collaborative operation of Onboard Energy Storage Systems (OESS) and Stationary Energy Storage Systems (SESS). In the meantime, to optimize the ESS capacity and reduce its redundancy, Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is applied. The simulation is programmed in MATLAB. The results show that the corporation of OESS and SESS is more superior than the case that only apply SESS in energy saving. Moreover, the OESS takes the significant role. The findings contribute to the ongoing efforts in developing more sustainable and energy-efficient transportation solutions, with implications for the railway industry and broader initiatives in sustainable urban mobility.