Multiscale PMU data compression based on wide-area event detection

Gyul Lee, Yong June Shin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, a multiscale compression process for phasor a measurement unit (PMU) is proposed using a wide-area event detection method. For the first step, the data compression intervals are adaptively selected by monitoring the average of modified wavelet energy (AMWE) in order to reflect two different operating conditions of power system; i.e., ambient and event. In the next step, the interval-selected dataset is compressed by a multiscale dimensionality reduction process. The dimensionality reduction step uses wavelet decomposition to reflect non-stationary characteristics and extract time-varying features from the PMU signals. The principal component analysis is then applied to the wavelet-decomposed matrices for data compression. The effectiveness of the proposed method was confirmed by application to the real-world PMU voltage and frequency data, and comparisons are made with the conventional wavelet compression technique.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages437-442
Number of pages6
ISBN (Electronic)9781538640555
DOIs
Publication statusPublished - 2018 Apr 17
Event2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017 - Dresden, Germany
Duration: 2017 Oct 232017 Oct 26

Publication series

Name2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
Volume2018-January

Other

Other2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
CountryGermany
CityDresden
Period17/10/2317/10/26

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Lee, G., & Shin, Y. J. (2018). Multiscale PMU data compression based on wide-area event detection. In 2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017 (pp. 437-442). (2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartGridComm.2017.8340705