

The use of Model
Predictive Control (MPC) in the optimal distribution of electrical
energy in a microgrid located in southeastern of Spain: A case
study simulation
César HernándezHernández, Francisco Rodríguez,
José Carlos Moreno, Paulo Renato da Costa Mendes and Julio
Elías NormeyRico
2017/04/25

Abstrac
The microgrids allow the integration of renewable
sources of energy such as solar and wind and distributed energy resources
such as combined heat and power, energy storage, and demand response.
In addition, the use of local sources of energy to serve local loads helps
reduce energy losses in transmission and distribution, further increasing
efficiency of the electric delivery system. In this paper, the optimization
problem of the energy in a microgrid (MG) located in southeastern of Spain,
with Energy Storage System (ESS), which exchanges energy with the utility
grid is developed using Model Predictive Control techniques. System modelling
use the methodology of the Energy Hubs. The MPC techniques allow maximizing
the economic benefit of the microgrid and to minimize the degradation
of storage system.
Published in: Renewable Energy
& Power Quality Journal (RE&PQJ, Nº. 15) 
Pages: 221226 
Date of Publication: 2017/04/25 
ISSN: 2172038X 
Date of Current Version: 
REF: 27817 
Issue Date: April 2017 
DOI:10.24084/repqj15.278 
Publisher: EA4EPQ 
Authors and affiliations
César HernándezHernández(1),
Francisco Rodríguez(1), José Carlos Moreno(1), Paulo Renato
da Costa Mendes(2) and Julio Elías NormeyRico(2)
1. Department of Informatics, Agrifood Campus of International Excellence
ciaA3, CIESOL Research Center on Solar Energy, University of Almeria,
(Spain)
2 Federal University of Santa Catarina, Florianopolis, Brazil
Key word
Microgrid, Energy Hubs, Model Predictive Control.
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