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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Veröffentlicht in:International transactions on electrical energy systems Jg. 31; H. 10
Hauptverfasser: Ali, Syed Umaid, Aamir, Muhammad, Jafri, Atif Raza, Subramaniam, Umashankar, Haroon, Faheem, Waqar, Asad, Yaseen, Muhammad
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hoboken John Wiley & Sons, Inc 01.10.2021
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ISSN:2050-7038, 2050-7038
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Abstract 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.
AbstractList 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.
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.
Author Waqar, Asad
Jafri, Atif Raza
Yaseen, Muhammad
Ali, Syed Umaid
Haroon, Faheem
Aamir, Muhammad
Subramaniam, Umashankar
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Snippet 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...
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...
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SubjectTerms Algorithms
Alternating current
bidirectional interleaving converter (BIC)
Control algorithms
control of bidirectional AC/DC converter
Control theory
Controllers
Converters
distributed control
Distributed generation
Dynamic response
hybrid microgrid
model predictive control (MPC)
Multivariable control
Nonlinear control
Optimization
Parameters
Predictive control
voltage and current control
Title Model predictive control—Based distributed control algorithm for bidirectional interlinking converter in hybrid microgrids
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2F2050-7038.12817
https://www.proquest.com/docview/2578601230
Volume 31
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