HEAL DSpace

A Model Predictive Control Framework for Residential Microgrids

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dc.contributor.author Mehleri, ED en
dc.contributor.author Papageorgiou, LG en
dc.contributor.author Markatos, NC en
dc.contributor.author Sarimveis, H en
dc.date.accessioned 2014-03-01T02:07:22Z
dc.date.available 2014-03-01T02:07:22Z
dc.date.issued 2012 en
dc.identifier.issn 15707946 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/29550
dc.subject Distributed energy resources (DER) en
dc.subject Microgrid en
dc.subject Mixed-integer linear programming (MILP) en
dc.subject Model predictive control (MPC) en
dc.subject Rolling horizon en
dc.title A Model Predictive Control Framework for Residential Microgrids en
heal.type journalArticle en
heal.identifier.primary 10.1016/B978-0-444-59519-5.50066-6 en
heal.identifier.secondary http://dx.doi.org/10.1016/B978-0-444-59519-5.50066-6 en
heal.publicationDate 2012 en
heal.abstract In this work, we consider the development of a decision making strategy built upon the Predictive Control (MPC) rolling horizon concept for the optimal operation of a microgrid, to satisfy the power and heat demands of a small neighborhood. The MPC problem is formulated as a Mixed Integer Linear Programming (MILP) model. The microgrid involves various technologies, such as photovoltaic (PV) arrays, microcombined heat and power (micro-CHP) units, conventional boilers and heat and electricity storage tanks. Electricity transfers are allowed between the dwellings and the grid. © 2012 Elsevier B.V. en
heal.journalName Computer Aided Chemical Engineering en
dc.identifier.doi 10.1016/B978-0-444-59519-5.50066-6 en
dc.identifier.volume 30 en
dc.identifier.spage 327 en
dc.identifier.epage 331 en


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