<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/8386963F-D8C3-4A4A-9E54-20FCBDD11858"><efrbr-work:titleOfTheWork>Integrated energy management system for microgrids of building prosumers</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/8386963F-D8C3-4A4A-9E54-20FCBDD11858"><efrbr-expression:titleOfTheExpression>Integrated energy management system for microgrids of building prosumers</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Peer-Reviewed Journal Publication
            Δημοσίευση σε Περιοδικό με Κριτές
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2022-11-28</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2021</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>In this paper, an easy to apply and computationally efficient energy management system (EMS) for microgrids of building prosumers is proposed. It is based on a hierarchical multi-agent system (MAS), aiming to minimize the operation cost of a microgrid comprising a group of buildings, renewable energy sources (RES), energy storage systems (ESS) and plug-in electric vehicles (PEVs). The optimization problem is suitably set up to ensure low computation requirements and it is solved with particle swarm optimization (PSO). Optimal operation scheduling for grid-connected and autonomous operation of microgrids of building prosumers, considering their thermal and electrical systems, integrated RES, conventional and dynamic ESS is proposed. The models used are not computationally demanding, allowing the application to complex systems and they are not being limited to one building scale which is the case for the majority of relative research. Another innovative feature of the proposed algorithm, among others, is that it ensures autonomous operation at certain time periods without the use of any emergency generator sets. Detailed simulation results of different operation scenarios, showed that cost savings in range of 11% can be achieved while a large number of operation and technical constraints are satisfactorily met in grid-connected and autonomous operation.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="journal name">Electric Power Systems Research</efrbr-expression:note><efrbr-expression:note type="journal volume">198</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://users.isc.tuc.gr/~gfarinis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Farinis Georgios
            Φαρινης Γεωργιος
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~fkanellos"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Kanellos Fotios
            Κανελλος Φωτιος
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-corporateBody:corporateBody identifier="https://v2.sherpa.ac.uk/id/publisher/30"><efrbr-corporateBody:nameOfTheCorporateBody vocabulary="S/R:PUBLISHERS">
            Elsevier
         </efrbr-corporateBody:nameOfTheCorporateBody></efrbr-corporateBody:corporateBody><efrbr-concept:concept identifier="835C26ED-9BAB-44A3-8797-80196D18DB5B"><efrbr-concept:termForTheConcept>
            Building energy management systems
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="5614FB5F-A11E-45A1-98D2-9EF8D5EF501B"><efrbr-concept:termForTheConcept>
            Electric vehicles
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="0E0221B0-CDA1-45EF-A36D-B460A3C42245"><efrbr-concept:termForTheConcept>
            Energy storage systems
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="78633274-0A14-43BC-A96B-85B5E42BF741"><efrbr-concept:termForTheConcept>
            Optimization
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="A6E212FC-BDF6-4887-A7F7-7F8FA3238574"><efrbr-concept:termForTheConcept>
            Renewable Energy Sources
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="C28DFE55-D99B-4A0A-8C2B-C6F423519A26"><efrbr-concept:termForTheConcept>
            Microgrids
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