Optimal Hybrid Energy Storage Sizing for Co-phase Traction Power Supply System Based on Grey Wolf Optimizer

This paper presents a methodology of optimal hy-brdi energy storage system (HESS) sizing, which includes a master problem of power and energy capacities configuration of HESS, and a slave problem of daily HESS operation. In the master problem, the total cost co-phase traction substation (CTSS) during the project service period is minimized, with battery aging and replacement considered. In the slave problem, a formulation of mixed integer linear programming (MILP) is performed with minimized electricity cost of CTSS. Grey wolf optimizer with embedded CPLEX solver is adopted to solve this HESS sizing problem. The proposed method is verified with a real case of high-speed railway line in China.