Optimising Energy Management in Hybrid Microgrids

Javier Bilbao, Eugenio Bravo, Olatz García, Carolina Rebollar and Concepción Varela
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Javier Bilbao: Applied Mathematics Department, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), Pl. Ing. Torres Quevedo, 1, 48013 Bilbao, Spain
Eugenio Bravo: Applied Mathematics Department, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), Pl. Ing. Torres Quevedo, 1, 48013 Bilbao, Spain
Olatz García: Applied Mathematics Department, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), Pl. Ing. Torres Quevedo, 1, 48013 Bilbao, Spain
Carolina Rebollar: Applied Mathematics Department, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), Pl. Ing. Torres Quevedo, 1, 48013 Bilbao, Spain
Concepción Varela: Applied Mathematics Department, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), Pl. Ing. Torres Quevedo, 1, 48013 Bilbao, Spain

Mathematics, 2022, vol. 10, issue 2, 1-24

Abstract: This article deals with the optimization of the operation of hybrid microgrids. Both the problem of controlling the management of load sharing between the different generators and energy storage and possible solutions for the integration of the microgrid into the electricity market will be discussed. Solar and wind energy as well as hybrid storage with hydrogen, as renewable sources, will be considered, which allows management of the energy balance on different time scales. The Machine Learning method of Decision Trees, combined with ensemble methods, will also be introduced to study the optimization of microgrids. The conclusions obtained indicate that the development of suitable controllers can facilitate a competitive participation of renewable energies and the integration of microgrids in the electricity system.

Keywords: hybrid microgrids; renewable energies; energy management; electricity system (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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