Automated analysis of power systems disturbance records: smart grid big data perspective
Author
Ukil, Abhisek
Zivanovic, Rastko
Date of Issue
2014Conference 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].
Collections
http://dx.doi.org/10.1109/ISGT-Asia.2014.6873776
Get published version (via Digital Object Identifier)