APA
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Vásquez, B. M., Cartagena, O., Ocaranza, J., Fonseca, A. N., Hueichapan, D. S., & Cárdenas-Dobson, R. (2024). Multi-Objective Distributed Predictive Secondary Control Design for Frequency Restoration and Active Power Sharing of Microgrids. In IECON 2024-50th Annual Conference of the IEEE Industrial Electronics Society. https://doi.org/10.1109/IECON55916.2024.10905135
Chicago/Turabian
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Vásquez, B. Moreno, Oscar Cartagena, Javier Ocaranza, Alex Navas Fonseca, Doris Sáez Hueichapan, and R. Cárdenas-Dobson. “Multi-Objective Distributed Predictive Secondary Control Design for Frequency Restoration and Active Power Sharing of Microgrids.” In IECON 2024-50th Annual Conference of the IEEE Industrial Electronics Society, 2024.
MLA
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Vásquez, B. Moreno, et al. “Multi-Objective Distributed Predictive Secondary Control Design for Frequency Restoration and Active Power Sharing of Microgrids.” IECON 2024-50th Annual Conference of the IEEE Industrial Electronics Society, 2024, doi:10.1109/IECON55916.2024.10905135.
BibTeX Click to copy
@inproceedings{b2024a,
title = {Multi-Objective Distributed Predictive Secondary Control Design for Frequency Restoration and Active Power Sharing of Microgrids},
year = {2024},
journal = {IECON 2024-50th Annual Conference of the IEEE Industrial Electronics Society},
doi = {10.1109/IECON55916.2024.10905135},
author = {Vásquez, B. Moreno and Cartagena, Oscar and Ocaranza, Javier and Fonseca, Alex Navas and Hueichapan, Doris Sáez and Cárdenas-Dobson, R.}
}
This paper proposes a distributed predictive secondary controller that restores frequency deviations and handles the active power sharing of multiple generation units in a sea harbor microgrid. The proposed control strategy is based on a multi-objective optimization framework, where each distributed generation unit is handled by its own predictive optimization problem. The main contribution of this approach is the avoidance of weighting factors on each optimization problem, which in most works in the literature have to be tuned for the specific application case. Instead, in this proposal the control actions applied to the microgrid are determined by the obtention of a Pareto front defined in terms of the different control objectives in a microgrid. This controller is validated via simulation by connecting and disconnecting loads in a sea harbor microgrid model. The reported results confirm that the proposed distributed controller based on multi-objective optimization can handle the operation of multiple generation units while complying with the frequency restoration and power consensus condition.