A Model Predictive Control Framework for Residential Microgrids

Mehleri, ED; Papageorgiou, LG; Markatos, NC; Sarimveis, H

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