Deterministic algorithm for optimizing energy storage systems along railway lines

The paper carried out a methodology to design stationary energy storage system (ESS) employing a deterministic algorithm. The primary scope is to maximizing economic benefits arriving to define an optimal siting and sizing of the ESS utilizing deterministic algorithm. The objective function of the algorithm is set on the net present value (NPV) calculation. Numerical simulation of a d.c. railway line with new high-speed trains has been presented to assess power flow between trains, leading to the identification of suitable locations and sizes for electrical substations and storage systems within the railway network.The main scope of the proposed approach lies in using an optimization algorithm to maximize the economic advantage of installing an energy storage system in a railway line also minimizing the energy purchase from the grid with low computational effort, versatility and easy implementation features. The methodology proposed has been applied to a case study.