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Distributed Predictive Control using Frequency and Voltage Soft Constraints in AC Microgrids including Economic Dispatch of Generation

Navas-Fonseca, Alex; Burgos-Mellado, Claudio; Gomez, Juan S.; Llanos, Jacqueline; Espina, Enrique; Saez, Doris; Sumner, Mark

Distributed Predictive Control using Frequency and Voltage Soft Constraints in AC Microgrids including Economic Dispatch of Generation Thumbnail


Authors

Alex Navas-Fonseca

Claudio Burgos-Mellado

Juan S. Gomez

Jacqueline Llanos

Enrique Espina

Doris Saez

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



Abstract

This paper proposes a distributed predictive secondary controller to tackle together frequency and voltage regulation, realize the economic dispatch and reactive power sharing of generation units in isolated AC microgrids. Contrary to most approaches, the proposed predictive controller achieves consensus objectives (economic dispatch of generation and reactive power sharing) with soft constraints (keep both frequency and average voltage within predefined bands instead of restoring them to their nominal values). Extensive simulation work validates the effectiveness of the predictive controller for communication problems and in the presence of plug-and-play scenarios.

Citation

Navas-Fonseca, A., Burgos-Mellado, C., Gomez, J. S., Llanos, J., Espina, E., Saez, D., & Sumner, M. (2021). Distributed Predictive Control using Frequency and Voltage Soft Constraints in AC Microgrids including Economic Dispatch of Generation. . https://doi.org/10.1109/IECON48115.2021.9589500

Presentation Conference Type Edited Proceedings
Conference Name 47th Annual Conference of the IEEE Industrial Electronics Society (IECON 2021)
Start Date Oct 13, 2021
End Date Oct 16, 2021
Acceptance Date Sep 19, 2021
Online Publication Date Nov 15, 2021
Publication Date Oct 13, 2021
Deposit Date Feb 14, 2022
Publicly Available Date Feb 14, 2022
Publisher Institute of Electrical and Electronics Engineers
DOI https://doi.org/10.1109/IECON48115.2021.9589500
Public URL https://nottingham-repository.worktribe.com/output/7467004
Publisher URL https://ieeexplore.ieee.org/document/9589500
Additional Information © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must beobtained for all other uses, in any current or future media, includingreprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted
component of this work in other works.

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