Capacity configuration method of flexible smart traction power supply system based on double-layer optimization



Ying, Yichen, Tian, Zhongbei ORCID: 0000-0001-7295-3327, Wu, Mingli, Liu, Qiujiang and Tricoli, Pietro
(2023) Capacity configuration method of flexible smart traction power supply system based on double-layer optimization. IEEE Transactions on Transportation Electrification, 9 (3). p. 1.

[img] PDF
Capacity configuration optimization 20230102_to submit.pdf - Author Accepted Manuscript

Download (837kB) | Preview

Abstract

The flexible smart traction power supply system (FSTPSS) is a new type of traction power supply system (TPSS) 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 considering both the daily operating costs and long-term investment recycling, which has not been fully studied. Based on the characteristics of FSTPSS, this article proposes a double-layered capacity configuration optimization method by integrating the artificial fish swarm algorithm (AFSA) 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 the benchmark, the final converged maximum benefit value has increased by 43.6%, the grid power is averaged cut by 2.26%, and the sum of the daily cycle number of the energy storage devices increased by 27.3%. In addition, the proposed method can also improve the probability that the train can drive out of the current power supply interval in the event of a grid outage. By using the proposed method, this probability is increased by 9.27%.

Item Type: Article
Additional Information: (c) 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords: 7 Affordable and Clean Energy, 13 Climate Action
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 17 Apr 2023 07:44
Last Modified: 15 Mar 2024 17:23
DOI: 10.1109/tte.2023.3244551
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3169588