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Optimal Operational and Economical Coordination Strategy for a Smart Neighborhood

dc.contributor.authorPaterakis, Nikolaos G.
dc.contributor.authorPappi, Iliana N.
dc.contributor.authorCatalao, Joao P. S.
dc.contributor.authorErdinc, Ozan
dc.date.accessioned2026-06-27T13:38:22Z
dc.date.issued2015
dc.description.abstractThe introduction of smart end-users is a vital point towards the smart grid vision. In this respect, smart households have drawn significant attention recently. Home energy management systems (HEMS) in smart households and transformer energy management units have different objectives that can sometimes be conflicting. Thus, a novel interactive optimum operating strategy that considers all possible aspects in each smart household together with internal bi-directional power flows within the household structure from economic (minimization of household daily electricity usage costs) and technical (avoidance of transformer overloading) perspective is proposed in this study. To the best knowledge of the authors, this is the first study in the literature combining all of the possible operational possibilities in HEMS of smart households together with internal household bi-directional power flows and the technical limitations of a transformer unit serving a neighborhood of smart households under a mixed-integer linear programming (MILP) framework.en
dc.identifier.isbn978-1-4799-7695-9
dc.identifier.urihttps://hdl.handle.net/20.500.14981/54042
dc.identifier.wos000380546800278
dc.language.isoeng
dc.publisherIEEE
dc.relation.conferencePowerTech, 2015 IEEE Eindhoven
dc.relation.ispartof2015 IEEE EINDHOVEN POWERTECH
dc.subjectDistributed generation
dc.subjecthome energy management system
dc.subjectelectric vehicles
dc.subjectsmart neighborhood
dc.subjectENERGY MANAGEMENT
dc.subjectDEMAND RESPONSE
dc.subjectTRANSFORMER
dc.subjectSYSTEM
dc.subjectIMPACT
dc.subjectEngineering
dc.titleOptimal Operational and Economical Coordination Strategy for a Smart Neighborhood
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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