dc.creatorJiang, He
dc.creatorRen, Hui
dc.creatorSun, Chenjun
dc.creatorWatts Casimis, David Eduardo
dc.date.accessioned2022-05-16T20:30:49Z
dc.date.available2022-05-16T20:30:49Z
dc.date.created2022-05-16T20:30:49Z
dc.date.issued2017
dc.identifier10.1109/ISGTEurope.2017.8260233
dc.identifier9781538619537
dc.identifier9781538619544
dc.identifierhttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8260233
dc.identifierhttps://doi.org/10.1109/ISGTEurope.2017.8260233
dc.identifierhttps://repositorio.uc.cl/handle/11534/63995
dc.description.abstractPlug-in hybrid electric vehicles (PHEVs) are considered as one of the most complicated loads/power sources because of the temporal and spatial stochastic features compared to other controllable loads. Most of the studies on the modelling of PHEVs are based on the travel survey or only considers their temporal stochastics. However, with the development of charging stations and commercial passenger cars, or for specific study, such as voltage quality, the spatial stochastics cannot be neglected. A comprehensive simulation model considering the temporal and spatial stochastics is then needed. In this paper, we build a stochastic model of PHEV, considering PHEV's temporal in arrival time, departure time and driving time and spatial randomness in the charging and discharging locations. IEEE-13 is taken as a test system and the effect of PHEVs on the daily load curve is investigated. The model is going to be a good compliment for the travel survey bases study.
dc.languageen
dc.publisherIEEE
dc.relationIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) (2017 : Turín, Italia)
dc.rightsacceso restringido
dc.subjectSchedules
dc.subjectStochastic processes
dc.subjectLoad modeling
dc.subjectState of charge
dc.subjectLoad management
dc.subjectProbability distribution
dc.titleThe temporal-spatial stochastic model of plug-in hybrid electric vehicles
dc.typecomunicación de congreso


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