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dc.contributor.authorLiu, Yiming
dc.contributor.authorLi, Yan
dc.contributor.authorRen, Jiaxin
dc.contributor.authorWang, Shaorong
dc.contributor.authorLi, Li
dc.date.accessioned2019-07-24T12:40:46Z
dc.date.available2019-07-24T12:40:46Z
dc.date.issued2019-06-03
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/403
dc.identifier.urihttp://dx.doi.org/10.34890/633
dc.description.abstractElectric vehicle (EV) chargers are non-linear loads mainly composed of power electronic devices, which will produce harmonics when connected to distribution networks on a large scale, endangering the safe and stable operation of the power grid and power equipment. When high-power charging stations are connected to the distribution network, the mechanism modeling methods are usually too complex. This paper proposes a data-driven harmonic modeling method for EV charging stations. Firstly, the actual measured data is obtained by the charging monitoring system to analyze the harmonic characteristics of current and voltage in the dynamic process of charging. Then, the overall equivalent modeling strategy is adopted for EV charging stations. The relationship between the amplitude and phase angle of each harmonic current and the fundamental voltage, the state of charge (SOC) of the battery and the type of rectifier circuit is non-linearly mapped by the radial basis function network (RBFN). In order to validate the effectiveness of this modeling method, a battery-SOC-based charging station model of EV is built to simulate the output characteristics of the charging station in a complete charging cycle, and RBFN modeling is conducted with the acquired data. The results show that the method can well reflect the harmonic external characteristics of the parallel points of the charging station, and has the advantages of fast simulation speed and high precision. It is an effective harmonic source modeling method, which can be applied to the harmonic estimation of large-scale grid connection of EV charging stations and power quality management.
dc.language.isoen
dc.publisherAIM
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleA Data-driven Harmonic Modeling Method for Electric Vehicle Charging Stations
dc.typeConference Proceedings
dc.description.conferencelocationMadrid, Spain
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.contributor.detailedauthorLiu, Yiming, Huazhong University of Science and Technology, China
dc.contributor.detailedauthorLi, Yan, Huazhong University of Science and Technology, China
dc.contributor.detailedauthorRen, Jiaxin, Huazhong University of Science and Technology, China
dc.contributor.detailedauthorWang, Shaorong, Huazhong University of Science and Technology, China
dc.contributor.detailedauthorLi, Li, University of Technology Sydney, Australia
dc.date.conferencedate3-6 June 2019
dc.description.peerreviewedYes
dc.title.number1409
dc.description.openaccessYes
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.countryAustralia
dc.description.conferencenameCIRED 2019
dc.contributor.affiliationHuazhong University of Science and Technology
dc.contributor.affiliationHuazhong University of Science and Technology
dc.contributor.affiliationHuazhong University of Science and Technology
dc.contributor.affiliationHuazhong University of Science and Technology
dc.contributor.affiliationUniversity of Technology Sydney
dc.description.sessionPower quality and electromagnetic compatibility
dc.description.sessionidSession 2


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