MPC control of Hybrid Energy Storage Systems

Version 1.0.4 (5,86 Mo) par Seyyed Ali Ghorashi Khalil Abadi

This file provides a Simulink model related to MPC-based current allocation of battery-supercapacitor hybrid energy storage systems

https://ieeexplore.ieee.org/abstract/document/9723067

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Dear Colleugues ,

This file is a modified/simplified Simulink model of our paper entitiled " A Model Predictive Control Strategy for Performance

Improvement of Hybrid Energy Storage Systems in DC Microgrids" published in IEEE ACCESS journal. We are sharing this file with you

because of frequenct requests to share the simulation files. We wish this Simulink file will be helpul for you research and help

you to better understand our proposed FB-MPC technique.

Please DO NOT FORGET to properly cite our paper if you are using this simulation in your resarch.

Ckich here to see the orginal paper -----> Link to Publisher

To Run This File:

1. Please first open the mpc1.mat to load the setting of the MPC controller in your workspace.

2. Run this Simulation in FB_MPC.slx .

This works is supported by National Science Foundation under Award #OIA-1757207

Regards,

Seyyed Ali Ghorashi Khalil Abadi

Citation pour cette source

Seyyed Ali Ghorashi Khalil Abadi (2024). MPC control of Hybrid Energy Storage Systems (https://www.mathworks.com/matlabcentral/fileexchange/114020-mpc-control-of-hybrid-energy-storage-systems), MATLAB Central File Exchange. Récupéré le avril 25, 2024.

Abadi, Seyyed Ali Ghorashi Khalil, et al. “A Model Predictive Control Strategy for Performance Improvement of Hybrid Energy Storage Systems in DC Microgrids.” IEEE Access, vol. 10, Institute of Electrical and Electronics Engineers (IEEE), 2022, pp. 25400–21, doi:10.1109/access.2022.3155668.

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Créé avec R2020a

Compatible avec les versions R2020a à R2021a

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MPC Control of HESSs

FB_MPC.slx

Version	Publié le	Notes de version
1.0.4	1 mars 2023	This work is supported by National Science Foundation under Award #OIA-1757207	Télécharger
1.0.3	1 mars 2023	This work is supported by National Science Foundation Under Award: Award #OIA-1757207	Télécharger
1.0.2	6 juil. 2022	Please Run this with MATLAB 2020a	Télécharger
1.0.1	28 juin 2022	Please Run this in the R2020a version to avoid possible errors	Télécharger
1.0.0	24 juin 2022		Télécharger

MLA	Abadi, Seyyed Ali Ghorashi Khalil, et al. “A Model Predictive Control Strategy for Performance Improvement of Hybrid Energy Storage Systems in DC Microgrids.” IEEE Access, vol. 10, Institute of Electrical and Electronics Engineers (IEEE), 2022, pp. 25400–21, doi:10.1109/access.2022.3155668.
APA	Abadi, S. A. G. K., Habibi, S. I., Khalili, T., & Bidram, A. (2022). A Model Predictive Control Strategy for Performance Improvement of Hybrid Energy Storage Systems in DC Microgrids. IEEE Access, 10, 25400–25421. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Faccess.2022.3155668
BibTeX	@article{Ghorashi_Khalil_Abadi_2022, doi = {10.1109/access.2022.3155668}, url = {https://doi.org/10.1109%2Faccess.2022.3155668}, year = 2022, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {10}, pages = {25400--25421}, author = {Seyyed Ali Ghorashi Khalil Abadi and Seyed Iman Habibi and Tohid Khalili and Ali Bidram}, title = {A Model Predictive Control Strategy for Performance Improvement of Hybrid Energy Storage Systems in {DC} Microgrids}, journal = {{IEEE} Access} }