Research on Demand Analysis and Optimal Allocation of Rail Transit Hybrid Energy Storage Based on the Electric Traction Model

Dixi Xin (), Jianlin Li, Suliang Ma and Chang’an Liu
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Dixi Xin: Electrical and Control Engineering College, North China University of Technology, Beijing 100144, China
Jianlin Li: Electrical and Control Engineering College, North China University of Technology, Beijing 100144, China
Suliang Ma: Electrical and Control Engineering College, North China University of Technology, Beijing 100144, China
Chang’an Liu: Electrical and Control Engineering College, North China University of Technology, Beijing 100144, China

Energies, 2022, vol. 15, issue 19, 1-20

Abstract: With the development of power transmission technology and power electronics, electrified railroads are widely used and pose a great challenge for the power grid. Hybrid energy storage integrates different advantages of multiple energy storage and can cope with the complex energy situation of rail transit. The complementary characteristics of lithium batteries and flywheels in terms of techno-economic indicators make them the main form of hybrid energy storage. In this paper, we analyze the power demand during train operation by studying the electromechanical characteristics of the rail transit traction process. On this basis, hybrid energy storage is configured to meet the power demand, and particle swarm optimization is chosen as the solution tool to perform the capacity configuration of lithium battery and flywheel in this paper. Finally, this paper proves the feasibility of the proposed theory by arithmetic example analysis, and it is shown that the proposed scheme can achieve a high percentage of energy reuse and low application cost.

Keywords: hybrid energy storage; rail transit; traction model; optimized volume (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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