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Supervision of Community Based Microgrids: an Economic Model Predictive Control approach

Francesco Tedesco, Lubna Mariam, Malabika Basu, Alessandro Casavola, Michael F. Conlon



In this paper, an Economic Model Predictive Control (EMPC) approach has been presented to manage a Community-based microgrid (C-ìGCC) at the pricing level. The main task is at satisfying the demand at prosumer sides and, at the same time, optimizing various ì-Grid contrasting objectives. Emphasis has been given to the operational constraints related to the components lifetime, whose satisfaction would be beneficial for the grid in that the maintenance and replacement costs would be reduced. A simulative analysis has been carried out on the basis of available measured data related to a location in Dublin, Ireland. Results show the effectiveness
of implementing the EMPC approach to optimally manage the system.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ, Nº. 14)
Pages: 172-177 Date of Publication: 2016/5/20
ISSN: 2172-038X Date of Current Version:2016/05/04
REF: 257-16 Issue Date: May 2016
DOI:10.24084/repqj14.257 Publisher: EA4EPQ

Authors and affiliations

Francesco Tedesco(1), Lubna Mariam(2), Malabika Basu(2), Alessandro Casavola (1), Michael F. Conlon(2)
1. University of Calabria, DIMES. Italy
2. Dublin Institute of Technology,SEEE. Ireland

Key words

Renewable Energy, Model Predictive Control, Battery Life-time, Microgrids Management, Economics of Renewable Energy Systems


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