Adaptive V2G peak shaving and smart charging control for grid integration of PEVs

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dc.contributor.author Erden, Faith
dc.contributor.author Kisacikoglu, Mithat C.
dc.contributor.author Erdogan, Nuh
dc.date.accessioned 2018-12-06T12:13:12Z
dc.date.available 2018-12-06T12:13:12Z
dc.date.issued 2019
dc.identifier.citation Kisacikoglu, M. C. and Erdogan, N. (2019) 'Adaptive V2G Peak Shaving and Smart Charging Control for Grid Integration of PEVs AU - Erden, Fatih', Electric Power Components and Systems, In Press, doi: 10.1080/15325008.2018.1489435 en
dc.identifier.startpage 1 en
dc.identifier.endpage 12 en
dc.identifier.issn 1532-5008
dc.identifier.issn 1532-5016
dc.identifier.uri http://hdl.handle.net/10468/7180
dc.identifier.doi 10.1080/15325008.2018.1489435
dc.description.abstract The stochastic nature of plug-in electric vehicle (PEV) driving behavior and distribution grid load profile make it challenging to control vehicle-grid integration in a mutually beneficial way. This study proposes a new adaptive control strategy that manages PEV charging/discharging for peak shaving and load leveling in a distribution grid. For accurate and high fidelity transportation mobility modeling, real vehicle driving test data are collected from the field. Considering the estimated total required PEV battery charging energy, the vehicle-to-grid capabilities of PEVs, and the forecasted non-PEV base load, a reference operating point for the grid is estimated. This reference operating point is updated once at the end of peak hours to guarantee a full final state-of-charge to each PEV. Proposed method provides cost-efficient operation for the utility grid, utmost user convenience free from range anxiety, and ease of implementation at the charging station nodes. It is tested on a real residential transformer, which serves approximately one thousand customers, under various PEV penetration levels and charging scenarios. Performance is assessed in terms of meansquare-error and peak shaving index. Results are compared with those of various reference operating point choices and shown to be superior. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Taylor & Francis en
dc.relation.uri https://www.tandfonline.com/toc/uemp20/current
dc.rights © 2019 Informa UK Limited .This is an Accepted Manuscript of an article published by Taylor & Francis in Electric Power Components and Systems, available online: https://www.tandfonline.com/toc/uemp20/current en
dc.subject Grid integration en
dc.subject Peak shaving en
dc.subject Plug-in electric vehicles (PEVs) en
dc.subject Smart charging en
dc.subject Vehicle-to-grid (V2G) en
dc.title Adaptive V2G peak shaving and smart charging control for grid integration of PEVs en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Nuh Erdogan, Environmental Research Institute, University College Cork, Cork, Ireland. +353-21-490-3000 Email: nuh.erdogan@ucc.ie en
dc.internal.availability Full text available en
dc.check.info Access to this article is restricted until 12 months after publication by request of the publisher. en
dc.check.date 2020-01-19
dc.description.version Accepted Version en
dc.internal.rssid 478334189
dc.description.status Peer reviewed en
dc.identifier.journaltitle Electric Power Components and Systems en
dc.internal.IRISemailaddress nuh.erdogan@ucc.ie en
dc.internal.bibliocheck In Press, Jan 2019. Update citation, add volume, page numbers. en


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