A rolling horizon approach for optimal management of microgrids under stochastic uncertainty

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dc.contributor.authorSilvente, Javier
dc.contributor.authorKopanos, Georgios M.
dc.contributor.authorDua, Vivek
dc.contributor.authorPapageorgiou, Lazaros G.
dc.date.accessioned2017-09-25T10:46:29Z
dc.date.available2017-09-25T10:46:29Z
dc.date.issued2017-09-22
dc.description.abstractThis work presents a Mixed Integer Linear Programming (MILP) approach based on a combination of a rolling horizon and stochastic programming formulation. The objective of the proposed formulation is the optimal management of the supply and demand of energy and heat in microgrids under uncertainty, in order to minimise the operational cost. Delays in the starting time of energy demands are allowed within a predefined time windows to tackle flexible demand profiles. This approach uses a scenario-based stochastic programming formulation. These scenarios consider uncertainty in the wind speed forecast, the processing time of the energy tasks and the overall heat demand, to take into account all possible scenarios related to the generation and demand of energy and heat. Nevertheless, embracing all external scenarios associated with wind speed prediction makes their consideration computationally intractable. Thus, updating input information (e.g., wind speed forecast) is required to guarantee good quality and practical solutions. Hence, the two-stage stochastic MILP formulation is introduced into a rolling horizon approach that periodically updates input information.en_UK
dc.identifier.citationSilvente J, Kopanos GM, Dua V, Papageorgiou LG. A rolling horizon approach for optimal management of microgrids under stochastic uncertainty. Chemical Engineering Research and Design, Volume 131, March 2018, Pages 293-317en_UK
dc.identifier.issn0263-8762
dc.identifier.urihttp://dx.doi.org/10.1016/j.cherd.2017.09.013
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12544
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEnergy planningen_UK
dc.subjectRolling horizonen_UK
dc.subjectStochastic programmingen_UK
dc.subjectSchedulingen_UK
dc.subjectMathematcial programmingen_UK
dc.subjectMicrogriden_UK
dc.subjectMILPen_UK
dc.titleA rolling horizon approach for optimal management of microgrids under stochastic uncertaintyen_UK
dc.typeArticleen_UK

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