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      Automated analysis of power systems disturbance records: smart grid big data perspective

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      Automated Analysis of Power Systems Disturbance Records.pdf (315.6Kb)
      Author
      Ukil, Abhisek
      Zivanovic, Rastko
      Date of Issue
      2014
      Conference Name
      IEEE Innovative Smart Grid Technical Conference, ISGT Asia (2014:Kuala Lumpur)
      School
      School of Electrical and Electronic Engineering
      Version
      Accepted version
      Abstract
      Analysis 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.
      Subject
      DRNTU::Engineering::Electrical and electronic engineering
      Type
      Conference Paper
      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].
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      http://dx.doi.org/10.1109/ISGT-Asia.2014.6873776
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