Distributed Model-Based Predictive Secondary Control for Hybrid AC/DC Microgrids

Rute-Luengo, Erwin; Navas-Fonseca, Alex; Gomez, Juan S.; Espina, Enrique; Burgos-Mellado, Claudio; Saez, Doris; Sumner, Mark; Munoz-Carpintero, Diego

Abstract

This paper presents a novel scheme based on distributed model-based predictive control for the secondary level control of hybrid AC/DC microgrids. Prediction models based on droop control and power transfer equations are proposed to characterize the generators in both the AC and DC sub-microgrids, whereas power balance constraints are used to predict the behavior of interlinking converters. The operational constraints (such as powers and control action limits) are included in all the formulations. Experimental results validate the proposed scheme for the following cases: (i) load changes, working within operating constraints, (ii) managing frequency regulation in the AC sub-microgrid, voltage regulation in the DC sub-microgrid and global power consensus in the whole hybrid microgrid, and (iii) maintaining the microgrid performance in the presence of communication malfunction while ensuring that plug-and-play capability is preserved.

Citation

Rute-Luengo, E., Navas-Fonseca, A., Gomez, J. S., Espina, E., Burgos-Mellado, C., Saez, D., Sumner, M., & Munoz-Carpintero, D. (2023). Distributed Model-Based Predictive Secondary Control for Hybrid AC/DC Microgrids. IEEE Journal of Emerging and Selected Topics in Power Electronics, 11(1), 627-642. https://doi.org/10.1109/JESTPE.2022.3157979

• Journal Article Type: Article
• Acceptance Date: Feb 22, 2022
• Online Publication Date: Mar 8, 2022
• Publication Date: 2023-02
• Deposit Date: May 13, 2022
• Publicly Available Date: May 13, 2022
• Journal: IEEE Journal of Emerging and Selected Topics in Power Electronics
• Print ISSN: 2168-6777
• Electronic ISSN: 2168-6785
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Issue: 1
• Pages: 627-642
• DOI: https://doi.org/10.1109/JESTPE.2022.3157979
• Keywords: Electrical and Electronic Engineering; Energy Engineering and Power Technology
• Public URL: https://nottingham-repository.worktribe.com/output/8048086
• Publisher URL: https://ieeexplore.ieee.org/document/9730874
• Additional Information: © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/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.