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

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...

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Published in:Energies (Basel) 2024-01, Vol.17 (1), p.268
Main Authors: Ye, Jingjing, Sun, Minghao, Song, Kejian
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description 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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identifier ISSN: 1996-1073
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subjects Alternative energy sources
Case studies
Efficiency
electric railway smart microgrid system
Energy consumption
Energy industry
Energy management
Energy management systems
Energy resources
Energy storage
Fourier transforms
hybrid energy storage system
integrated empirical mode decomposition
Methods
Power supply
Railroads
Renewable resources
Sediment transport
two-stage energy distribution
Wavelet transforms
Wind power
title An Energy Management Strategy for an Electrified Railway Smart Microgrid System Based on Integrated Empirical Mode Decomposition
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