Economic Model Predictive Control for energy management in a microgrid

Authors

  • Martín Alejandro Alarcón, Doctorando GIPEC - Grupo de Investigaci´on en Programaci´on Electr´onica y Control, Facultad Regional Reconquista, Universidad Tecnol´ogica Nacional - Argentina
  • Antonio Ferramosca Director
  • Alejandro H. González Codirector

DOI:

https://doi.org/10.33414/ajea.5.738.2020

Keywords:

Microgrid, Energy Management, Distributed Energy Resources, Predictive Control

Abstract

This article proposes a design strategy for energy flow control systems in electrical microgrids with renewable generation, applying Economic Model Predictive Control (EMPC).
The microgrid model used is made up of a storage system, a renewable generation source, a residential-type consumption profile and the possibility of exchanging energy with the main network is considered, thus allowing the microgrid the possibility of acting and participating. within the electricity market.

The proposed functional for the controller considers costs of use for the microgrid systems, as well the benefit from sale of energy to the main electrical network. The operation of the system is checked by simulating it in different scenarios.

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Published

2020-10-05

How to Cite

Alarcón, M. A., Ferramosca, A., & González, A. H. (2020). Economic Model Predictive Control for energy management in a microgrid. AJEA (Proceedings of UTN Academic Conferences and Events), (5). https://doi.org/10.33414/ajea.5.738.2020