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dc.contributor.authorHossain, Md Alamgir
dc.contributor.authorPota, Hemanshu Roy
dc.contributor.authorMoreno, Carlos Macana
dc.date.accessioned2021-05-11T01:51:43Z
dc.date.available2021-05-11T01:51:43Z
dc.date.issued2019
dc.identifier.issn2405-8963en_US
dc.identifier.doi10.1016/j.ifacol.2019.08.244en_US
dc.identifier.urihttp://hdl.handle.net/10072/404287
dc.description.abstractAn energy storage system is a key element of renewable-based power generation. Its flexible operational capabilities reduce not only the impact of intermittent power generation but also operational costs. In this paper, a dynamic penalty function is proposed to the charging term of the cost function to efficiently manage the battery energy and thereby reducing operational costs. The charging/discharging periods of the battery are effectively controlled based on the solar power generation and residential real-time electricity prices (RRTP). The optimisation problem formulated for the application of real-time energy management is solved with the help of particle swarm optimisation (PSO). It is shown that the proposed cost function can reduce operational costs over a time horizon of 96 hours by 4.2 per cent as compared to the cost function reported in the literature. Simulation studies are carried out to demonstrate the effectiveness of the proposed cost function over the existing cost function.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherElsevieren_US
dc.relation.ispartofconferencenameIFAC Workshop on Control of Smart Grid and Renewable Energy Systems (CSGRES)en_US
dc.relation.ispartofconferencetitleIFAC-PapersOnLineen_US
dc.relation.ispartofdatefrom2019-06-10
dc.relation.ispartofdateto2019-06-12
dc.relation.ispartoflocationJeju, South Koreaen_US
dc.relation.ispartofpagefrom407en_US
dc.relation.ispartofpageto412en_US
dc.relation.ispartofissue4en_US
dc.relation.ispartofvolume52en_US
dc.subject.fieldofresearchElectrical and Electronic Engineeringen_US
dc.subject.fieldofresearchcode0906en_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsAutomation & Control Systemsen_US
dc.subject.keywordsrenewable energy sourcesen_US
dc.subject.keywordsoptimum battery controlen_US
dc.titleReal-time Battery Energy Management for Residential Solar Power Systemen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conferencesen_US
dcterms.bibliographicCitationHossain, MA; Pota, HR; Moreno, CM, Real-time Battery Energy Management for Residential Solar Power System, IFAC-PapersOnLine, 2019, 52 (4), pp. 407-412en_US
dc.date.updated2021-05-11T01:19:56Z
dc.description.versionVersion of Record (VoR)en_US
gro.rights.copyright© 2019 IFAC-PapersOnLine. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.en_US
gro.hasfulltextFull Text
gro.griffith.authorHossain, Md. Alamgir


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