Capacity Configuration Method of Flexible Smart Traction Power Supply System Based on Double-Layer Optimization

Abstract

The flexible smart traction power supply system (FSTPSS) is a new type of traction power supply system including converters, energy storage devices and renewable energies. The capacities of the multiple components in FSTPSS have a significant impact on the economic operation and stable operation. And the capacity configuration optimization requires to consider both the daily operation costs and long-term investment recycle, which has not been fully studied. Based on the characteristics of FSTPSS, this paper proposes a double-layered capacity configuration optimization method by integrating artificial fish swarm algorithm and CPLEX solver. The main goal of this method is to obtain the maximum economic benefits in the whole life cycle. Meanwhile, the operation time of FSTPSS when facing grid outage is also considered. The simulation results show that compared with benchmark, the final converged maximum benefit value has increased by 43.6%, the grid power is averaged cut by 2.26%, the sum of daily cycle number of the energy storage devices increased by 27.3%. In addition, the proposed method can also improve the probability that train can drive out of the current power supply interval in the event of grid outage. By using the proposed method, this probability is increased by 9.27%.