Reference Modulation-Based H∞ Control for the Hybrid Energy Storage System in DC Microgrids

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Publicado en:Mathematics vol. 13, no. 13 (2025), p. 2202-2223
Autor principal: Huan, Su Khac
Otros Autores: Son, Young Seop, Lee, Youngwoo
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MDPI AG
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022 |a 2227-7390 
024 7 |a 10.3390/math13132202  |2 doi 
035 |a 3229152580 
045 2 |b d20250101  |b d20251231 
084 |a 231533  |2 nlm 
100 1 |a Huan, Su Khac  |u School of Engineering, Eastern International University, Thu Dau Mot 820000, Vietnam; huan.su@eiu.edu.vn 
245 1 |a Reference Modulation-Based H<sub>∞</sub> Control for the Hybrid Energy Storage System in DC Microgrids 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a In DC microgrids, optimizing the hybrid energy storage system (HESS) current control to meet the power requirements of the load is generally a difficult and challenging task. This is because the HESS always operates under various load conditions, which are influenced by measurement disturbances and parameter uncertainties. Therefore, in this paper, we propose the H∞ state feedback control based on the reference modulation to improve the current tracking errors of the battery (Bat) and supercapacitor (SC) in the HESS for power tracking performance. Without altering the system control signal, the reference modulation technique combines the feedforward channel and output feedback signal directly to modulate the required currents of the Bat and SC derived from the required load power. The H∞ state feedback control based on the required Bat and SC currents modulated by the reference modulation technique is proposed to improve the current tracking errors under the influence of measurement disturbances and parameter uncertainties without a disturbance observer. The ability of the reference modulation technique to attenuate the disturbance without the use of a disturbance observer is one advantage for improving transient performance. The improvement of the HESS’s power tracking performance in DC microgrids is confirmed by study results presented under the influence of measurement disturbances for nominal parameters and parameter uncertainties. 
653 |a Robust control 
653 |a Electrical loads 
653 |a Control algorithms 
653 |a Distributed generation 
653 |a Mathematical models 
653 |a Modulation 
653 |a Electric vehicles 
653 |a Transient performance 
653 |a Renewable resources 
653 |a Controllers 
653 |a Control systems 
653 |a Energy storage 
653 |a State feedback 
653 |a Hybrid systems 
653 |a Alternative energy sources 
653 |a Energy resources 
653 |a Parameter uncertainty 
653 |a Tracking errors 
653 |a Feedback control 
653 |a H-infinity control 
653 |a Climate change 
653 |a Disturbance observers 
653 |a Output feedback 
700 1 |a Son, Young Seop  |u Graduate School of Data Science, Kyungpook National University, Daegu 41566, Republic of Korea; ys.son@knu.ac.kr 
700 1 |a Lee, Youngwoo  |u School of Electrical Engineering, Hanyang University, Ansan 15588, Republic of Korea 
773 0 |t Mathematics  |g vol. 13, no. 13 (2025), p. 2202-2223 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3229152580/abstract/embedded/J7RWLIQ9I3C9JK51?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3229152580/fulltextwithgraphics/embedded/J7RWLIQ9I3C9JK51?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3229152580/fulltextPDF/embedded/J7RWLIQ9I3C9JK51?source=fedsrch