Power Management and Control Strategy Based on Model-Free Control for Hybrid Energy Storage System

The hybrid energy storage system (HESS) integrating supercapacitor and batterie capitalizes on their respective merits of high power density and high energy density, enabling the smoothing of DC bus fluctuations and power balancing, hence has been widely applied in DC microgrids. Energy management and control stand as the central issues in HESS. This paper comprehensively considers the control at both system and device levels, proposing a power allocation strategy based on virtual impedance droop (VID) and a power control strategy based on the ultralocal model. A SoC (State of Charge) recovery strategy with frequency constraints is devised, building upon the traditional supercapacitor control based on virtual capacitance droop. Furthermore, the applied converter control method based on the ultralocal model significantly mitigates dependency on physical parameters, which enhances the robustness of the control. Ultimately, the efficacy of the proposed two-level energy management and control strategy is substantiated through simulations conducted in Matlab/Simulink.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icpre62586.2024.10768477
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.17

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article

Power Management and Control Strategy Based on Model-Free Control for Hybrid Energy Storage System

Xiaoxiao Huo, Po Li
1 citations
Power Systems and Renewable Energy
0.17
article

Power Management and Control Strategy Based on Model-Free Control for Hybrid Energy Storage System

Xiaoxiao Huo, Po Li
article en
1 citations

Abstract

The hybrid energy storage system (HESS) integrating supercapacitor and batterie capitalizes on their respective merits of high power density and high energy density, enabling the smoothing of DC bus fluctuations and power balancing, hence has been widely applied in DC microgrids. Energy management and control stand as the central issues in HESS. This paper comprehensively considers the control at both system and device levels, proposing a power allocation strategy based on virtual impedance droop (VID) and a power control strategy based on the ultralocal model. A SoC (State of Charge) recovery strategy with frequency constraints is devised, building upon the traditional supercapacitor control based on virtual capacitance droop. Furthermore, the applied converter control method based on the ultralocal model significantly mitigates dependency on physical parameters, which enhances the robustness of the control. Ultimately, the efficacy of the proposed two-level energy management and control strategy is substantiated through simulations conducted in Matlab/Simulink.

Xiamen University (CN)
Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 41%
Power Systems and Renewable Energy
0.17
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Power Management and Control Strategy Based on Model-Free Control for Hybrid Energy Storage System — Xiaoxiao Huo, Po Li · (2024) | TGRS Research Map | TGRS