An Energy Management Strategy for an Electrified Railway Smart Microgrid System Based on Integrated Empirical Mode Decomposition

被引：1
|
作者：
Ye, Jingjing [1 ]
Sun, Minghao [1 ]
Song, Kejian [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
来源：
ENERGIES | 2024年 / 17卷 / 01期
关键词：
hybrid energy storage system; electric railway smart microgrid system; integrated empirical mode decomposition; two-stage energy distribution; POWER; STABILITY; ALGORITHM;
D O I：
10.3390/en17010268
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The integration of a renewable energy and hybrid energy storage system (HESS) into electrified railways to build an electric railway smart microgrid system (ERSMS) is beneficial for reducing fossil fuel consumption and minimizing energy waste. However, the fluctuations of renewable energy generation and traction load challenge the effectiveness of the energy management for such a complex system. In this work, an energy management strategy is proposed which firstly decomposes the renewable energy into low-frequency and high-frequency components by an integrated empirical mode decomposition (IEMD). Then, a two-stage energy distribution approach is utilized to appropriately distribute the energy flow in the ERSMS. Finally, the feasibility and effectiveness of the proposed solution are validated through case study.
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页数：15
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