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dc.contributor.authorOkpako, O.*
dc.contributor.authorRajamani, Haile S.*
dc.contributor.authorPillai, Prashant*
dc.contributor.authorAnuebunwa, U.R.*
dc.contributor.authorSwarup, K.S.*
dc.date.accessioned2017-01-11T11:58:45Z
dc.date.available2017-01-11T11:58:45Z
dc.date.issued2016-10-13
dc.identifier.citationOkpako O, Rajamani H-S, Pillai P et al (2016) Evaluation of community viral power plant under various pricing schemes. In: 2016 IEEE Conference on Smart Energy Grid Engineering (SEGE),. 21-24 Aug 2016, Canada.en_US
dc.identifier.urihttp://hdl.handle.net/10454/11096
dc.descriptionYesen_US
dc.description.abstractTechnological advancement on the electricity grid has focused on maximizing its use. This has led to the introduction of energy storage. Energy storage could be used to provide both peak and off-peak services to the grid. Recent work on the use of small units of energy storage like battery has proposed the vehicle to grid system. It is propose in this work to have energy storage device embedded inside the house of the energy consumer. In such a system, consumers with battery energy storage can be aggregated in to a community virtual power plant. In this paper, an optimized energy resource allocation algorithm is presented for a virtual power plant using genetic algorithm. The results show that it is critical to have a pricing scheme that help achieve goals for grid, virtual power plant, and consumers.en_US
dc.description.sponsorshipMr. Oghenovo Okpako is grateful to the Niger Delta Development Commission of Nigeria for funding the work. The work has been also supported by the British Council and the UK Department of Business innovations and Skills under the GII funding of the SITARA project.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://dx.doi.org/10.1109/SEGE.2016.7589503en_US
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.subjectState of charge; Prosumer; Battery; Virtual power plant (VPP); Genetic algorithm (GA); Smart griden_US
dc.titleEvaluation of community virtual power plant under various pricing schemesen_US
dc.status.refereedYesen_US
dc.typeConference paperen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2018-07-26T09:55:14Z


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