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Multi-Application Strategy Based on Railway Static Power Conditioner With Energy Storage System.

Authors :
Luo, Pei
Li, Qianru
Zhou, Yang
Ma, Qian
Zhang, Ying
Peng, Yishuang
Sun, Jihao
Source :
IEEE Transactions on Intelligent Transportation Systems; Apr2021, Vol. 22 Issue 4, p2140-2152, 13p
Publication Year :
2021

Abstract

With the rapid development of high-speed and heavy-load electrified railway, the peak impact and the regenerative braking energy content of traction load become increasingly significant, which has become an important problem affecting the construction and operation benefits of electrified railway. On the basis of comprehensively solving the power quality problems of electrified railway, a multi-application strategy based on the railway static power conditioner (RPC) with the energy storage system (ESS) is proposed in this paper to improve the economic benefits of the traction system. Through the implementation of the peak clipping and the recuperation and utilization of regenerative braking energy of traction load with the guidance of such strategy, the comprehensive economic benefits of the traction system can be improved. By analyzing the mathematical relationship between the comprehensive economic benefits and the parameters such as peak clipping rate and regenerative braking energy utilization rate of the system, an optimization model with the goal of maximizing the comprehensive economic benefits is established. Therefore, the optimal configuration capacity of the ESS is obtained. Finally, the experiments are carried out in MATLAB. The results show that, with the multi-application strategy, the peak load clipping and the recuperation and utilization of regenerative braking energy can be simultaneously realized. It is also demonstrated that the comprehensive economic benefits and environmental benefits can be improved while improving energy efficiency. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15249050
Volume :
22
Issue :
4
Database :
Complementary Index
Journal :
IEEE Transactions on Intelligent Transportation Systems
Publication Type :
Academic Journal
Accession number :
149686394
Full Text :
https://doi.org/10.1109/TITS.2020.3048362