Multi-Objective Distributed Predictive Secondary Control Design for Frequency Restoration and Active Power Sharing of Microgrids

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.

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Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905135
Primary Topic
Power Systems and Renewable Energy
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article
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article

Multi-Objective Distributed Predictive Secondary Control Design for Frequency Restoration and Active Power Sharing of Microgrids

Oscar Cartagena, Roberto Cárdenas, Javier Ocaranza, Doris Sáez et al.
Power Systems and Renewable Energy
article

Multi-Objective Distributed Predictive Secondary Control Design for Frequency Restoration and Active Power Sharing of Microgrids

Oscar Cartagena, Roberto Cárdenas, Javier Ocaranza, Doris Sáez, Alex Navas-Fonseca, Benjamín Moreno Vásquez
article en

Abstract

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.

Complex Engineering System Institute (CL), University of Chile (CL)
Openalex Percentile: Top 68%
Power Systems and Renewable Energy
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Multi-Objective Distributed Predictive Secondary Control Design for Frequency Restoration and Active Power Sharing of Microgrids — Oscar Cartagena, Roberto Cárdenas, et al. · (2024) | TGRS Research Map | TGRS