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Thermal and energy production optimization in microgrids with Model Predictive Control

S. Raimondi Cominesi, A. Del Corno, E. Corsetti, G. A. Guagliardi, C. Sandroni, R. Scattolini

2016/5/20

Abstract

This paper presents an algorithm for the management of electrical and thermal power production in microgrids connected to the utility grid and subject to uncertainties in both load requests and non-dispatchable generation.
The suggested procedure allows, on one hand, to obtain the day-ahead setpoint profiles for the microgrid devices, resulting in the economic optimal power exchange with the grid. On the other hand, it supplies a suitable method to refine such setpoint profiles, during the daily execution, in order to cope with unpredicted behaviours of the system. A formulation of the algorithm for a possible case study is given and simulation results are illustrated in the final part of the work.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ),Vol. 1, Nº. 14
Pages:908-913 Date of Publication: 2016/5/20
ISSN: 2172-038X Date of Current Version:2016/5/4
REF:512-16 Issue Date: May 2016
DOI:10.24084/repqj14.512 Publisher: EA4EPQ

Authors and affiliations

S. Raimondi Cominesi(1), A. Del Corno(2), E. Corsetti(2), G. A. Guagliardi(2), C. Sandron(2), R. Scattolini(1)
1. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano. Italy
2. Ricerca per il Sistema Energetico italiano, RSE S.p.A. Italy

Key words

optimal energy management, distributed generation, combined cooling heat and power system, uncertainty

References

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