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dc.contributor.authorStreubel, Tim
dc.contributor.authorEisenmann, Adrian
dc.date.accessioned2019-07-24T12:38:11Z
dc.date.available2019-07-24T12:38:11Z
dc.date.issued2019-06-03
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/218
dc.identifier.urihttp://dx.doi.org/10.34890/427
dc.description.abstractThe shift in power systems from large power stations towards smaller decentralized generation units imposes new challenges on grid operators regarding power quality. The steady increase of power electronics connected to the grid results in elevated harmonic distortion levels, inducing additional losses and causing malfunctioning of control devices. This development has led to a rising number of monitoring systems, in order to ensure adequate power quality within the mandatory limits and boundaries. Consequently, detection and classification of power quality disturbances is a vital component of the mentioned systems. This paper proposes a new method for detecting power quality issues and identifying their underlying causes, based on historical data. The implemented automated image classification algorithm continuously analyses the FFT spectrogram of disturbances and simultaneously determines the type of disturbance and its cause without the need of a segmentation and feature extraction process. The results are validated using measurement from an electric vehicle car charging station.
dc.language.isoen
dc.publisherAIM
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleObject Detection Based Power Quality Expert System for an Electric Vehicle Infrastructure
dc.typeConference Proceedings
dc.description.conferencelocationMadrid, Spain
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.contributor.detailedauthorStreubel, Tim , University of Stuttgart- Institute of Power Transmission and High Voltage Technology, Germany
dc.contributor.detailedauthorEisenmann, Adrian , University of Stuttgart Institute of Power Transmission and High Voltage Technology, Germany
dc.date.conferencedate3-6 June 2019
dc.description.peerreviewedYes
dc.title.number958
dc.description.openaccessYes
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.description.conferencenameCIRED 2019
dc.contributor.affiliationUniversity of Stuttgart- Institute of Power Transmission and High Voltage Technology
dc.contributor.affiliationUniversity of Stuttgart Institute of Power Transmission and High Voltage Technology
dc.description.sessionPower quality and electromagnetic compatibility
dc.description.sessionidSession 2


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