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Renewable Energy and Power Quality Journal
Article . 2024 . Peer-reviewed
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ZENODO
Article . 2017
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Thermal and energy production optimization in microgrids with Model Predictive Control

Authors: RAIMONDI COMINESI, STEFANO; Del Corno, Ada; Corsetti, Edoardo; Guagliardi, Giuseppe Antonio; Sandroni, Carlo; SCATTOLINI, RICCARDO;

Thermal and energy production optimization in microgrids with Model Predictive Control

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.

Country
Italy
Related Organizations
Keywords

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

  • BIP!
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    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
bronze