Teaching-Learning Based Optimization Method for PEV Scheduling Incorporating PV Units in a Distribution Power Network

dc.contributor.affiliationCalifornia State University Northridge (CSUN)
dc.contributor.affiliationCalifornia State University Northridge (CSUN)
dc.contributor.authorPourmostadam, Kaveh
dc.contributor.authorSedghisigarchi, Kourosh
dc.contributor.countryUSA
dc.contributor.countryUSA
dc.contributor.detailedauthorPourmostadam, Kaveh, California State University Northridge (CSUN), USA
dc.contributor.detailedauthorSedghisigarchi, Kourosh, California State University Northridge (CSUN), USA
dc.date.accessioned2019-07-24T12:37:53Z
dc.date.available2019-07-24T12:37:53Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractIntegration a large number of plug in electric vehicles (PEVs) to the grid, results in the bus voltage deviation and active power loss raise tremendously. Further, we face overvoltage and increased grid loss by increasing the number of installed photovoltaics (PVs) on the grid.This paper employs a novel Teaching and Learning Based Optimization (TLBO) approach to mitigate the corresponding serious side effects. In this work, the proposed strategy finds the optimum schedule of PEVs in order to improve the system voltage profile and reduce active power losses, while the PV units are supplying the system. To investigate the efficiency, a TLBO-based proposed method is applied to a typical standard IEEE distribution network.By looking at the TLBO simulation results, PEVs have been charged during the day hours and discharged at the peak hours. Discharging PEVs at peak hours causes less active power losses in the grid. By discharging PEVs at these hours some part of load demands are provided locally through the PEVs. Therefore, there is no need to increase power flow from the upper network.Finally, TLBO optimization method proved successful function to alleviate the PEVs penetration impact in cooperation of PV generation units.
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionPlanning of power distribution systems
dc.description.sessionidSession 5
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/187
dc.identifier.urihttp://dx.doi.org/10.34890/367
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleTeaching-Learning Based Optimization Method for PEV Scheduling Incorporating PV Units in a Distribution Power Network
dc.title.number892
dc.typeConference Proceedings
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