Sizing of Renewable Energy And Energy Storage In Electrified Railway Considering Multi-application Requirements

Abstract

The electrified railway integrating renewable energy sources (RES) and energy storage system (ESS) is the future trend of environment-friendly transportation. ESS can improve the reliability of RES and reduce the mismatch between energy consumption and generation. However, the capacity relationship between ESS and RES can affect performance indicators such as the utilization of ESS and the penetration rate of RES. Furthermore, there is an interaction between capacity and daily dispatch of ESS, and the addition of RES capacity will deepen this interaction. Therefore, this paper proposed a concept of traction power supply system with hybrid energy system (TPSS-HES), and developed a bi-level optimization model considering multi-application requirements in TPSS-HES for sizing ESS and RES. The master level determines the configuration of ESS and RES with the objective of minimizing the total cost, the slave level is a multi-objective optimization problem that considers daily operation including traction load peak clipping, regenerative braking (RB) energy recycling and RES consumption. The particle swarm optimization (PSO) algorithm with hierarchical method is utilized to solve this model. The experiment verified the economy and the reliability of the proposed methodology.