Umaid Ali, S., Aamir, M., Jafri, A. R. , Subramaniam, U., Haroon, F., Waqar, A. and Yaseen, M. (2021) Model predictive control—based distributed control algorithm for bidirectional interlinking converter in hybrid microgrids. International Transactions on Electrical Energy Systems, 31(10), e12817. (doi: 10.1002/2050-7038.12817)
Full text not currently available from Enlighten.
Abstract
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.
Item Type: | Articles |
---|---|
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Jafri, Dr Atif |
Authors: | Umaid Ali, S., Aamir, M., Jafri, A. R., Subramaniam, U., Haroon, F., Waqar, A., and Yaseen, M. |
College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
Journal Name: | International Transactions on Electrical Energy Systems |
Publisher: | Wiley |
ISSN: | 2050-7038 |
ISSN (Online): | 2050-7038 |
Published Online: | 16 February 2021 |
University Staff: Request a correction | Enlighten Editors: Update this record