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Minimizing unbalances in low-voltage microgrids: Optimal scheduling of distributed resources

handle: 11588/663866 , 11580/62503
In this paper, a comprehensive strategy for the scheduling of unbalanced microgrids is proposed. The microgrids are characterized by the presence of a variety of distributed resources, such as data centers, electric vehicles, and distributed generation systems. The operation strategy is based on the solution of a multi-objective optimization problem, whose objective functions are related to specific services and requirements of the microgrid, such as cost minimization, power quality improvements, and energy savings. Particular attention is paid to the unbalances presence in the microgrid with the aim to outline how the proposed strategy is able to significantly reduce them taking contemporaneously into account other important economic and technical objectives. An analysis of the objectives and the different operational perspectives also is proposed, which allows us to exploit the effectiveness of the multi-objective approach. The results of numerical applications are presented to show the effects of the considered strategy in terms of achievable advantages.
Control strategies; Dispersed storage and generation; Microgrids; Optimization methods; Scheduling., Control strategies, Scheduling, Dispersed storage and generation, Microgrids, Microgrids Dispersed storage and generation Optimization methods Control strategies Scheduling, Optimization methods
Control strategies; Dispersed storage and generation; Microgrids; Optimization methods; Scheduling., Control strategies, Scheduling, Dispersed storage and generation, Microgrids, Microgrids Dispersed storage and generation Optimization methods Control strategies Scheduling, Optimization methods
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).66 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
