A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loads
Abstract Here, a move blocking (MB) based direct voltage model predictive control (DVMPC) strategy is introduced to enhance the dynamic performance of a DC microgrid in presence of constant power loads (CPLs). For this aim, an automatic discrete dynamic model is first developed for a boost converter...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-10-01
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| Series: | IET Renewable Power Generation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rpg2.12848 |
| _version_ | 1797666333892018176 |
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| author | Fatemeh Rezayof Tatari Mahdi Banejad Ali Akbarzadeh Kalat |
| author_facet | Fatemeh Rezayof Tatari Mahdi Banejad Ali Akbarzadeh Kalat |
| author_sort | Fatemeh Rezayof Tatari |
| collection | DOAJ |
| description | Abstract Here, a move blocking (MB) based direct voltage model predictive control (DVMPC) strategy is introduced to enhance the dynamic performance of a DC microgrid in presence of constant power loads (CPLs). For this aim, an automatic discrete dynamic model is first developed for a boost converter. Considering the CPL effects on the dynamic model of the boost converter, a model predictive control is then designed to directly regulate the output voltage of the converter. Move blocking strategy is finally integrated into DVMPC in order to extend the prediction horizon, and consequently, dealing with the non‐minimum phase characteristic of the boost converter. The dynamic performance of the boost converter with a CPL load in both continuous conduction mode (CCM) and discontinuous conduction mode (DCM) is evaluated using MB‐based DVMPC and traditional control strategies. The simulation results conducted using MATLAB/Simulink demonstrate that the proposed approach not only enhances the dynamic performance of the DC microgrid, but also reduces the computational burden on the processor. Moreover, experimental results have been performed to validate the proposed strategy. Finally, the stability analysis of the proposed direct voltage control is provided. |
| first_indexed | 2024-03-11T19:58:07Z |
| format | Article |
| id | doaj.art-08a35f499bce4ce58d9d4d54cd19387a |
| institution | Directory Open Access Journal |
| issn | 1752-1416 1752-1424 |
| language | English |
| last_indexed | 2024-03-11T19:58:07Z |
| publishDate | 2023-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj.art-08a35f499bce4ce58d9d4d54cd19387a2023-10-04T14:19:32ZengWileyIET Renewable Power Generation1752-14161752-14242023-10-0117133340335410.1049/rpg2.12848A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loadsFatemeh Rezayof Tatari0Mahdi Banejad1Ali Akbarzadeh Kalat2Faculty of Electrical Engineering Shahrood University of Technology Shahrood IranFaculty of Electrical Engineering Shahrood University of Technology Shahrood IranFaculty of Electrical Engineering Shahrood University of Technology Shahrood IranAbstract Here, a move blocking (MB) based direct voltage model predictive control (DVMPC) strategy is introduced to enhance the dynamic performance of a DC microgrid in presence of constant power loads (CPLs). For this aim, an automatic discrete dynamic model is first developed for a boost converter. Considering the CPL effects on the dynamic model of the boost converter, a model predictive control is then designed to directly regulate the output voltage of the converter. Move blocking strategy is finally integrated into DVMPC in order to extend the prediction horizon, and consequently, dealing with the non‐minimum phase characteristic of the boost converter. The dynamic performance of the boost converter with a CPL load in both continuous conduction mode (CCM) and discontinuous conduction mode (DCM) is evaluated using MB‐based DVMPC and traditional control strategies. The simulation results conducted using MATLAB/Simulink demonstrate that the proposed approach not only enhances the dynamic performance of the DC microgrid, but also reduces the computational burden on the processor. Moreover, experimental results have been performed to validate the proposed strategy. Finally, the stability analysis of the proposed direct voltage control is provided.https://doi.org/10.1049/rpg2.12848DC–DC power convertorsmicrogridspredictive controlrenewable energy power conversion |
| spellingShingle | Fatemeh Rezayof Tatari Mahdi Banejad Ali Akbarzadeh Kalat A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loads IET Renewable Power Generation DC–DC power convertors microgrids predictive control renewable energy power conversion |
| title | A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loads |
| title_full | A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loads |
| title_fullStr | A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loads |
| title_full_unstemmed | A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loads |
| title_short | A move blocking based direct voltage model predictive control to enhance the dynamic performance of DC microgrids containing constant power loads |
| title_sort | move blocking based direct voltage model predictive control to enhance the dynamic performance of dc microgrids containing constant power loads |
| topic | DC–DC power convertors microgrids predictive control renewable energy power conversion |
| url | https://doi.org/10.1049/rpg2.12848 |
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