Publication:
Intelligent control of wind-assisted PHEVs smart charging station

dc.contributor.authorHassan, Syed Zulqadares_ES
dc.contributor.authorKamal, Tariqes_ES
dc.contributor.authorRiaz, Muhammad Hussnaines_ES
dc.contributor.authorShah, Syed Aamir Hussaines_ES
dc.contributor.authorAli, Hina Gohares_ES
dc.contributor.authorRiaz, Muhammad Tanveeres_ES
dc.contributor.authorSarmad, Muhammades_ES
dc.contributor.authorZahoor, Amires_ES
dc.contributor.authorKhan, Muhammad Abbases_ES
dc.contributor.authorPascual Miqueleiz, Julio María
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.date.accessioned2019-11-14T09:31:01Z
dc.date.available2019-11-14T09:31:01Z
dc.date.issued2019
dc.description.abstractTwo technology opportunities, integration of renewable energy sources and the electrification of vehicles are being encouraged to reduce dependency on fossil fuels and pollution problems. Nevertheless, the huge increase of plug-in hybrid electric vehicles (PHEVs) on roads will cause an additional load in demand, especially at rush hours, and therefore, threatens the stability of existing power grids. Considering PHEV stay for several hours in the workplace, (i.e., university), this may provide an inimitable framework to charge PHEV from wind in the workplace. This paper introduces the possibility of introducing intelligent control of wind power and battery storage units as supplementary power sources for future PHEV charging demands during rush hours. The operation of the proposed algorithm is based on the priority levels of PHEVs charging, and fluctuations in DC link voltage levels due to the variation in wind speed. The priorities of PHEVs charging are developed according to their power requirements, maximum rating of distribution transformer and park duration of PHEVs in the workplace during wind speed. Various non-isolated proportional-integral controllers and improved intelligent fuzzy control are used to keep a minimum critical DC link voltage to permit the power conditioning system to operate a charging station uninterruptedly, even at low wind speed. The improved intelligent fuzzy controller also contributes to minimizing the stress on the DC bus and ensures quality output power. The performance of the proposed charging station is verified for the real PHEV under real-world record of wind speed. All the energy sources, electric charging station and their controllers are designed in MATLAB/Simulink. Finally, the feasibility of proposed charging station is checked experimentally in the laboratory.en
dc.description.sponsorshipThis research and APC was funded by National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus.en
dc.format.extent31 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.3390/en12050909
dc.identifier.issn1996-1073
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/35378
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofEnergies, 2019, 12, 909en
dc.relation.publisherversionhttps://doi.org/10.3390/en12050909
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPlug-in hybrid electric vehiclesen
dc.subjectWind power sensingen
dc.subjectIntelligent controlen
dc.subjectSmart chargingen
dc.titleIntelligent control of wind-assisted PHEVs smart charging stationen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dspace.entity.typePublication
relation.isAuthorOfPublicatione6f2ddb7-3782-4571-91e6-1fd56d40f23e
relation.isAuthorOfPublication.latestForDiscoverye6f2ddb7-3782-4571-91e6-1fd56d40f23e

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