A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids

Date published

2015-06-25

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Elsevier

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Article

ISSN

0306-2619

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Citation

Javier Silvente, Georgios M. Kopanos, Efstratios N. Pistikopoulos, Antonio Espuña, A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids, Applied Energy, Volume 155, 1 October 2015, pp485-501

Abstract

This work focuses on the development of optimization-based scheduling strategies for the coordination of microgrids. The main novelty of this work is the simultaneous management of energy production and energy demand within a reactive scheduling approach to deal with the presence of uncertainty associated to production and consumption. Delays in the nominal energy demands are allowed under associated penalty costs to tackle flexible and fluctuating demand profiles. In this study, the basic microgrid structure consists of renewable energy systems (photovoltaic panels, wind turbines) and energy storage units. Consequently, a Mixed Integer Linear Programming (MILP) formulation is presented and used within a rolling horizon scheme that periodically updates input data information.

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Keywords

Energy planning, Rolling horizon, Scheduling, Mathematical programming, Microgrid, Demand side management

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Attribution 4.0 International (CC BY 4.0) You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

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