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Clustering of power quality event data collected via monitoring systems installed on the electricity network

Published: 28 June 2009 Publication History

Abstract

In this paper, a k-means-based clustering method applied to power quality event data is described. The data are collected by the power quality (PQ) monitors, which are developed through the National PQ Project and installed on the electricity network. The PQ monitors detect the PQ events defined as voltage sags, swells, and interruptions by the IEC Standard 61000-4-30, and collect the raw data of the event. The proposed method aims to cope with the huge event data size and cluster the event types so that PQ events are ultimately classified. The method helps to manage the event data to come up with PQ assessments for the specific measurement points and to make comparisons of various measurement points in terms of PQ of the electricity network.

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P. K. Dash, I. L. W. Chun, M. V. Chilukuri, "Power Quality Data Mining Using Soft Computing and Wavelet Transform", Conference on Convergent Technologies for Asia-Pacific Region, TENCON 2003.
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A. Asheibi, D. Stirling, D. Robinson, "Identification of Load Power Quality Characteristics Using Data Mining", IEEE CCECE/CCGEI, 2006.
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O. N. Gerek, D. G. Ece, A. Barkana, "Covariance Analysis of Voltage Waveform Signature for Power-Quality Event Classification", IEEE Trans. on Power Delivery, vol. 21, no. 4, Oct. 2006.
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M. Wang, G. I. Rowe, A. V. Mamishev, "Classification of Power Quality Events Using Optimal Time-Frequency Representations --- Part 2: Application", IEEE Trans. on Power Delivery, vol. 19, no. 3, July 2003.
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M. Uyar, S. Yildirim, M. T. Gencoglu, "An expert system based on S-transform and neural network for automatic classification of power quality disturbances", Expert Systems with Applications, Elsevier, 2008.
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  • (2014)Eigen-analysis based power quality event data clustering and classificationIEEE PES Innovative Smart Grid Technologies, Europe10.1109/ISGTEurope.2014.7028756(1-5)Online publication date: Oct-2014

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  1. Clustering of power quality event data collected via monitoring systems installed on the electricity network

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    cover image ACM Conferences
    SensorKDD '09: Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data
    June 2009
    150 pages
    ISBN:9781605586687
    DOI:10.1145/1601966
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 28 June 2009

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    Author Tags

    1. data mining
    2. k-means clustering
    3. power quality
    4. power quality event

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    • (2014)Eigen-analysis based power quality event data clustering and classificationIEEE PES Innovative Smart Grid Technologies, Europe10.1109/ISGTEurope.2014.7028756(1-5)Online publication date: Oct-2014

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