Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/96767
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dc.contributor.authorUkil, Abhiseken
dc.contributor.authorZivanovic, Rastkoen
dc.date.accessioned2014-08-21T01:40:33Zen
dc.date.accessioned2019-12-06T19:34:49Z-
dc.date.available2014-08-21T01:40:33Zen
dc.date.available2019-12-06T19:34:49Z-
dc.date.copyright2014en
dc.date.issued2014en
dc.identifier.citationUkil, A., & Zivanovic, R. (2014). Automated analysis of power systems disturbance records: smart grid big data perspective. IEEE Innovative Smart Grid Technical Conference., ISGT ASIA 2014. Kuala Lumpur, Malaysia.en
dc.identifier.urihttps://hdl.handle.net/10356/96767-
dc.description.abstractAnalysis of faults and disturbances play crucial roles in secure and reliable electrical power supply. Digital fault recorders (DFR) enable digital recording of the power systems transient events with high quality and huge quantity. However, transformation of data to information, expectedly in an automated way, is a big challenge for the power utilities worldwide. This is a key focus for realizing the ‘Smart Grid’. In this paper, the architecture and specifications for the primary and the secondary information for the automated systems are described. This provides qualitative and quantitative guidelines about the information to derive out of the disturbance data. A quantified estimate of big data for the substations, has been estimated in the paper. Possible ways of reducing the big data by utilizing intelligent segmentation techniques are described, substantiated by real example. Utilization of centralized protection and remote disturbance analysis for reducing big disturbance data are also discussed.en
dc.format.extent6 p.en
dc.language.isoenen
dc.rights© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/ISGT-Asia.2014.6873776].en
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleAutomated analysis of power systems disturbance records: smart grid big data perspectiveen
dc.typeConference Paperen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.contributor.conferenceIEEE Innovative Smart Grid Technical Conference, ISGT Asia (2014:Kuala Lumpur)en
dc.identifier.doi10.1109/ISGT-Asia.2014.6873776en
dc.description.versionAccepted versionen
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