Coordinated scheduling and multi-energy storage planning for electric train operations

With increased interest in efficient railway transport, new energy management methods are becoming popular for railway systems. Traditional power systems find it challenging to guarantee efficiency and a stable supply when peak demand is high or sections are without catenary lines. In this paper, we explore a system for planning and scheduling the management of energy in a traction rail running on a combination of Battery Energy Storage Systems and Hydrogen Energy Storage Systems. It aims to improve how traction rails make the most of their internal energy using the OCS to support more independence, greener trips, and stable energy under varying operational conditions and geographical terrains. Detailed profiling of traction rail behavior, traction power needs, and energy used over the gradient is included in the methodology. A method is presented for controlling the outputs of BESS and hydrogen fuel cells depending on the operational situation. The dynamic simulation is done in MATLAB Simulink to investigate power flow, the level of efficiency, and charge status as the load is varied in real time. The solution for real-time control system is formulated based on position, load, gradient as well as SOC of the load. Simulation results obtained depicted a decrease in energy consumption of 21.6 percent, hydrogen utilization of 27 percent and a proportionate decrease in battery cycles was 35 percent compared to traditional approaches bringing new insights into developing smart rail electrification strategies, mostly helpful for major freight and mixed-track systems in the construction of new Electric railway networks.