Model predictive control—Based distributed control algorithm for bidirectional interlinking converter in hybrid microgrids
Summary A hybrid AC/DC microgrid takes advantages of both DC and AC microgrids with distributed generation (DG) units in both the respective grids connected through a bidirectional interlinking converter (BIC). Control of hybrid AC/DC microgrid presents a significant research and engineering challen...
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| Vydané v: | International transactions on electrical energy systems Ročník 31; číslo 10 |
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| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Hoboken
John Wiley & Sons, Inc
01.10.2021
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| Predmet: | |
| ISSN: | 2050-7038, 2050-7038 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | Summary
A hybrid AC/DC microgrid takes advantages of both DC and AC microgrids with distributed generation (DG) units in both the respective grids connected through a bidirectional interlinking converter (BIC). Control of hybrid AC/DC microgrid presents a significant research and engineering challenge and hence needs increased research efforts. Existing control algorithms restrict individual controllers to control only designated parameters. This paper proposes MPC‐based distributed control algorithm that will analyze grid conditions, and it would designate BIC to regulate the highest deviated parameter (AC/DC voltage or current) in all nonlinear conditions by performing multivariable optimization using variable control scheme in MPC. Other parameters would be controlled by individual controllers as per their capability. MPC being a nonlinear control technique having an excellent dynamic response and constraint inclusion feature has advantage as compared to other linear and nonlinear techniques. The performance of the proposed algorithm has been compared against other techniques and proved in MATLAB/SIMULINK simulation.
MPC Control of BIC in hybrid microgrid. |
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| Bibliografia: | Handling Editor Aroudi Abdelali El ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 2050-7038 2050-7038 |
| DOI: | 10.1002/2050-7038.12817 |