Model Predictive Control for Stabilization of DC Microgrids in Island Mode Operation

Duberney Murillo-Yarce, Sebastián Riffo, Carlos Restrepo (), Catalina González-Castaño and Alejandro Garcés
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Duberney Murillo-Yarce: Engineering Systems Doctoral Program, Faculty of Engineering, Universidad de Talca, Curicó 3340000, Chile
Sebastián Riffo: Master in Energy Conversion, Faculty of Engineering, Universidad de Talca, Curicó 3340000, Chile
Carlos Restrepo: Faculty of Engineering, Universidad de Talca, Curicó 3340000, Chile
Catalina González-Castaño: Department of Engineering Sciences, Universidad Andres Bello, Santiago 7500971, Chile
Alejandro Garcés: Department of Electric Power Engineering, Universidad Tecnológica de Pereira, Pereira 660003, Colombia

Mathematics, 2022, vol. 10, issue 18, 1-21

Abstract: DC microgrid (DCMG) is a promising technology for integrating distributed resources, such as solar generation and energy storage devices, that are intrinsically DC. Recently, model predictive control (MPC) is one of the control techniques that has been widely used in microgrid applications due to its advantages, such as transient response and flexibility to nonlinearity inclusion. MPC applications can be centralized, distributed, or decentralized based on the communication architecture. A major disadvantage of the centralized model predictive control (CMPC) is the high computational effort. This paper proposes a CMPC for DCMG stabilization that uses the admittance matrix of a reduced DCMG in the prediction equation and the one-step prediction horizon to decrease the computational effort. The proposed CMPC also replaces the hierarchical architecture primary and secondary controls, achieving voltage or power regulation. A hardware-in-the-loop (HIL) tool, known as RT-Box 2, has been used to emulate an 8-node DC microgrid with versatile buck–boost converters at the supply and power consumption nodes. The proposed predictive control exhibited better performance in comparison with the averaged voltage control in the HIL experiments.

Keywords: centralized communication; DC microgrids; hierarchical control architecture; model predictive control (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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