Coordinated Electric Vehicle Charging With Reactive Power Support To Distribution Grids

dc.contributor.author Wang, Jingyuan
dc.contributor.author Ceylan, Oğuzhan
dc.contributor.author Bharati, Guna R.
dc.contributor.author Paudyal, Sumit
dc.contributor.author Ceylan, Oğuzhan
dc.contributor.author Bhattarai, Bishnu P.
dc.contributor.author Myers, Kurt S.
dc.contributor.other Management Information Systems
dc.date.accessioned 2019-06-27T08:02:25Z
dc.date.available 2019-06-27T08:02:25Z
dc.date.issued 2019
dc.department Fakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümü en_US
dc.description.abstract We develop hierarchical coordination frameworks to optimally manage active and reactive power dispatch of number of spatially distributed electric vehicles (EVs) incorporating distribution grid level constraints. The frameworks consist of detailed mathematical models which can benefit the operation of both entities involved i.e. the grid operations and EV charging. The first model comprises of a comprehensive optimal power flow model at the distribution grid level while the second model represents detailed optimal EV charging with reactive power support to the grid. We demonstrate benefits of coordinated dispatch of active and reactive power from EVs using a 33-node distribution feeder with large number of EVs (more than 5000). Case studies demonstrate that in constrained distribution grids coordinated charging reduces the average cost of EV charging if the charging takes place at nonunity power factor mode compared to unity power factor. Similarly the results also demonstrate that distribution grids can accommodate charging of increased number of EVs if EV charging takes place at nonunity power factor mode compared to unity power factor. en_US]
dc.identifier.citationcount 97
dc.identifier.doi 10.1109/TII.2018.2829710 en_US
dc.identifier.endpage 63
dc.identifier.issn 1551-3203 en_US
dc.identifier.issn 1941-0050 en_US
dc.identifier.issn 1551-3203
dc.identifier.issn 1941-0050
dc.identifier.issue 1
dc.identifier.scopus 2-s2.0-85045979383 en_US
dc.identifier.scopusquality Q1
dc.identifier.startpage 54 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/615
dc.identifier.uri https://doi.org/10.1109/TII.2018.2829710
dc.identifier.volume 15 en_US
dc.identifier.wos WOS:000455726700006 en_US
dc.identifier.wosquality Q1
dc.institutionauthor Ceylan, Oğuzhan en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.journal Transactions on Industrial Informatics en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 164
dc.subject Demand response en_US
dc.subject Distribution grid en_US
dc.subject Electric vehicles (EVs) en_US
dc.subject Optimization en_US
dc.subject Reactive power control en_US
dc.title Coordinated Electric Vehicle Charging With Reactive Power Support To Distribution Grids en_US
dc.type Article en_US
dc.wos.citedbyCount 122
dspace.entity.type Publication
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