Research on hierarchical control algorithm for SMES-BESS hybrid energy storage system based on multilevel power allocation

The superconducting magnetic energy storage (SMES) system has high power density and zero resistance characteristics, and has great potential for future development. This study proposes a hybrid energy storage system (HESS) that combines SMES with an electrochemical energy storage system (BESS) to enhance the short-term power support performance of electrochemical energy storage, introduces empirical mode dynamics (EMD) and decomposes multi-level power distribution methods, optimizes HESS internal power distribution and energy storage unit state of charge (SOC) management, and realizes SMES and BESS power and energy hierarchical complementary regulation. The feasibility and effectiveness of the research algorithm were verified by MATLAB/Simulink. Taking the power fluctuation of a wind farm as an example, its feasibility was verified, showing its great potential in other application scenarios.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1117/12.3066743
Primary Topic
Power Systems and Renewable Energy
Type
article
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Research on hierarchical control algorithm for SMES-BESS hybrid energy storage system based on multilevel power allocation

Hanbin Sun, Yunxiang Tian, Baocan He, Huafeng Mao et al.
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Power Systems and Renewable Energy
article

Research on hierarchical control algorithm for SMES-BESS hybrid energy storage system based on multilevel power allocation

Hanbin Sun, Yunxiang Tian, Baocan He, Huafeng Mao, Jing Lü, Yanan Wu, Pengfei Wang, Haiyang Liu, Jun Li
article en

Abstract

The superconducting magnetic energy storage (SMES) system has high power density and zero resistance characteristics, and has great potential for future development. This study proposes a hybrid energy storage system (HESS) that combines SMES with an electrochemical energy storage system (BESS) to enhance the short-term power support performance of electrochemical energy storage, introduces empirical mode dynamics (EMD) and decomposes multi-level power distribution methods, optimizes HESS internal power distribution and energy storage unit state of charge (SOC) management, and realizes SMES and BESS power and energy hierarchical complementary regulation. The feasibility and effectiveness of the research algorithm were verified by MATLAB/Simulink. Taking the power fluctuation of a wind farm as an example, its feasibility was verified, showing its great potential in other application scenarios.

Anhui University (CN)
Affordable and clean energy
Openalex Percentile: Top 85%
Power Systems and Renewable Energy
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