Efficient Urban Railway Design integrating Train Scheduling, Onboard Energy Storage, and Traction Power Management

Abstract

This paper presents a design of urban railway operation based on an integrated design approach. The integrated approach aims to integrate the design train schedule, optimizing scenario for installing onboard energy storage, and considering effective power management. The proposed integrated design is formulated as an optimization problem with two alternative form of objective function solved by Genetic Algorithm. First objective function is minimizing energy supplied from substation and energy capacity of energy storage. Alternative form of objective function is minimizing surplus regenerative energy and energy capacity of energy storage. Both objective functions deal with energy-saving and cost-saving concern. To verify the performance of proposed method, the numerical case studies of urban railway system in Thailand and China will be numerically performed. The results shown that the proposed integrated design with the first objective function in off-peak hour can provide up to 16% of energy-saving performance in the case of Chinese Jinan Metro system and 27% of energy-saving performance in the case of Bangkok Metro System.