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Distributed predictive secondary control with soft constraints for optimal dispatch in hybrid AC/DC microgrids

Navas-Fonseca, Alex; Burgos-Mellado, Claudio; Gómez, Juan S.; Espina, Enrique; Llanos, Jacqueline; Śaez, Doris; Sumner, Mark; Olivares, Daniel E.

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Authors

Alex Navas-Fonseca

Claudio Burgos-Mellado

Juan S. Gómez

Enrique Espina

Jacqueline Llanos

Doris Śaez

MARK SUMNER MARK.SUMNER@NOTTINGHAM.AC.UK
Professor of Electrical Energy Systems

Daniel E. Olivares



Abstract

Hybrid AC/DC microgrids (H-MGs) are a prominent solution for integrating distributed generation and modern AC and DC loads. However, controlling these systems is challenging as multiple electrical variables need to be controlled and coordinated. To provide flexibility to the control system, these variables can be regulated to specific values or within secure bands. This paper proposes a set of distributed model predictive control schemes for the secondary control level to control certain variables to specific values and other variables within secure pre-defined bands into H-MGs. Specifically, optimal dispatch of active and reactive power is achieved while frequency and voltages are regulated within secure bands in H-MGs. Dynamic models of AC generators, DC generators and interlinking converters along with their novel multi-objective cost functions are developed in constrained distributed predictive optimisation problems to simultaneously achieve the aforementioned objectives via information sharing. Extensive simulation work validates the performance of this proposal.

Citation

Navas-Fonseca, A., Burgos-Mellado, C., Gómez, J. S., Espina, E., Llanos, J., Śaez, D., …Olivares, D. E. (2023). Distributed predictive secondary control with soft constraints for optimal dispatch in hybrid AC/DC microgrids. IEEE Transactions on Smart Grid, 14(6), 4204-4218. https://doi.org/10.1109/tsg.2023.3261569

Journal Article Type Article
Acceptance Date Mar 15, 2023
Online Publication Date Mar 24, 2023
Publication Date 2023-11
Deposit Date May 2, 2024
Publicly Available Date May 2, 2024
Journal IEEE Transactions on Smart Grid
Print ISSN 1949-3053
Electronic ISSN 1949-3061
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 14
Issue 6
Pages 4204-4218
DOI https://doi.org/10.1109/tsg.2023.3261569
Keywords General Computer Science
Public URL https://nottingham-repository.worktribe.com/output/19010022
Publisher URL https://ieeexplore.ieee.org/document/10081021

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