Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5774
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJain, Prateeken_US
dc.contributor.authorDas, Ashutoshen_US
dc.contributor.authorJain, Traptien_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:43:50Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:43:50Z-
dc.date.issued2019-
dc.identifier.citationJain, P., Das, A., & Jain, T. (2019). Aggregated electric vehicle resource modelling for regulation services commitment in power grid. Sustainable Cities and Society, 45, 439-450. doi:10.1016/j.scs.2018.11.046en_US
dc.identifier.issn2210-6707-
dc.identifier.otherEID(2-s2.0-85058705899)-
dc.identifier.urihttps://doi.org/10.1016/j.scs.2018.11.046-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/5774-
dc.description.abstractThe objective of this paper is to present a mechanism to determine the two-way energy storage capacity of a large pool of electric vehicles (EV) which can be contracted in ancillary services market on a long-term basis to provide the regulation up (RU) and regulation down (RD) to the grid. The proposed mechanism uses a scheme which delivers the schedule of power supplied to or drawn from the grid by treating the mobility attributes dependent electrical parameters. Two operational places, the workplace, and the home were identified as per driving pattern of customers for the provision of regulation ancillary service. An illustrative model considering a fleet of representative battery electric vehicle (BEV) is presented based on the mechanism, to obtain the minute-wise storage capacity that can be contracted in the market to provide frequency regulation to the grid. Results demonstrate that two major mobility traits namely, driven distance and arrival pattern, as well as the charging and discharging power standards directly influences the regulation schedule. Further, it has been realized that even though the charging cost is associated with energy consumption, the regulation provision will yield a notable revenue stream on a long-term capacity commitment basis. This supplements the concept of EVs participation in power markets by virtue of their high ramp up ramp down speed capabilities. © 2018 Elsevier Ltden_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.sourceSustainable Cities and Societyen_US
dc.subjectBattery electric vehiclesen_US
dc.subjectCharging (batteries)en_US
dc.subjectCommerceen_US
dc.subjectElectric vehiclesen_US
dc.subjectEnergy utilizationen_US
dc.subjectFleet operationsen_US
dc.subjectVehicle-to-griden_US
dc.subjectAncillary serviceen_US
dc.subjectCharging-discharging poweren_US
dc.subjectGrid to vehicle (G2V)en_US
dc.subjectPower Schedulingen_US
dc.subjectRegulation capacityen_US
dc.subjectVehicle to Grid (V2G)en_US
dc.subjectElectric power transmission networksen_US
dc.titleAggregated electric vehicle resource modelling for regulation services commitment in power griden_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Electrical Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: