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dc.contributor.authorVarzaneh, S Ghafouri
dc.contributor.authorRaziabadi, A
dc.contributor.authorHosseinzadeh, Mohammad
dc.contributor.authorSanjari, Mohammad J
dc.date.accessioned2021-03-04T03:15:29Z
dc.date.available2021-03-04T03:15:29Z
dc.date.issued2021
dc.identifier.issn1752-1416
dc.identifier.doi10.1049/rpg2.12002
dc.identifier.urihttp://hdl.handle.net/10072/402766
dc.description.abstractEconomic profit is the main incentive for PV‐integrated residential prosumers, so energy management algorithms play a key role in these systems. The main priority of conventional rule‐based energy management systems (REMS) is to supply the demand. As a result, the total amount of energy sold to the distribution network, and consequently the user profit in such systems, is not considerable. This study proposes a smart energy management system (SEMS) for optimal energy management in a grid‐connected residential photovoltaic (PV) system, including battery as an energy storage unit. The proposed method, which is simulated by MATLAB, using real values for load and PV characteristics, will result in achieving an economic plan for battery operation based on a discretised state of charge of the battery. Experimental tests, carried out to verify the simulation results, demonstrate a noticeable increase in the prosumer benefits as well as the load profile correction compared to the classic energy management algorithms.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitution of Engineering and Technology (IET)
dc.relation.ispartofpagefrom17
dc.relation.ispartofpageto19
dc.relation.ispartofissue1
dc.relation.ispartofjournalIET Renewable Power Generation
dc.relation.ispartofvolume15
dc.subject.fieldofresearchElectrical engineering
dc.subject.fieldofresearchElectronics, sensors and digital hardware
dc.subject.fieldofresearchcode4008
dc.subject.fieldofresearchcode4009
dc.subject.keywordsScience & Technology
dc.subject.keywordsGreen & Sustainable Science & Technology
dc.subject.keywordsEnergy & Fuels
dc.titleOptimal energy management for PV-integrated residential systems including energy storage system
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationVarzaneh, SG; Raziabadi, A; Hosseinzadeh, M; Sanjari, MJ, Optimal energy management for PV-integrated residential systems including energy storage system, IET Renewable Power Generation, 2021, 15 (1), pp 17-29
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2021-03-04T00:08:27Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2020 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorSanjari, Mohammad


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