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- W2967832092 abstract "In energy management systems in microgrids, the combined and on-line use of optimisation and prediction rolling horizons of renewable power and demand may compromise the optimal performance. Usually, the medium-term optimal behaviour improves with additional available convergence time, while the error in predictions worsens with a broader horizon, against the using short-term predictions, which usually contributes to more accurate management. To address this problem, this study proposes the strategical and operational energy management system (SO-EMS) approach, which is based on three complementary management processes: (i) strategic energy management, based on off-line multi-objective optimisation on a rolling horizon, (ii) asynchronous decision making, which offers the ability to incorporate multiple criteria of a microgrid operator in the selection of an optimised energy plan, and (iii) operational power management, as an on-line proportional redistribution and redispatch process based on rules. The SO-EMS evaluation performed on a connected microgrid shows its ability to provide optimised plans on a rolling horizon of 24-h predictions and to adjust them to 1-m predictions. The evaluations made of the scheme also show flexibility because it is possible to redistribute the power assignments of units that are out of service. These features empower the SO-EMS in the broad power management of various connected microgrids." @default.
- W2967832092 created "2019-08-22" @default.
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- W2967832092 date "2019-10-01" @default.
- W2967832092 modified "2023-09-27" @default.
- W2967832092 title "Optimal management of electric power in microgrids under a strategic multi‐objective decision‐making approach and operational proportional adjustment" @default.
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- W2967832092 doi "https://doi.org/10.1049/iet-gtd.2019.0037" @default.
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