Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/96767
Title: Automated analysis of power systems disturbance records: smart grid big data perspective
Authors: Ukil, Abhisek
Zivanovic, Rastko
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2014
Source: Ukil, 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.
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.
URI: https://hdl.handle.net/10356/96767
http://hdl.handle.net/10220/20356
DOI: 10.1109/ISGT-Asia.2014.6873776
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].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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