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Thermal and energy production optimization in microgrids with Model Predictive Control

doi: 10.24084/repqj14.512
handle: 11311/1009131
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.
optimal energy management, distributed generation, combined cooling heat and power system, uncertainty
optimal energy management, distributed generation, combined cooling heat and power system, uncertainty
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).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).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
