Hybrid power quality event detection method with wavelet and ADALINE

Cheng I. Chen, Yu Ting Fu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For the development of smart grid, the effective detection of power quality events is a very important task for the power system monitoring. Voltage sags, interruptions, and voltage swells which usually produce large losses in commercial and industrial consumers are the main events in power systems due to the sensitivity of equipments to these voltage variations. In this paper, a hybrid detection method for power quality events by combining the wavelet analysis and adaptive linear combiner (ADALINE) is proposed. The usefulness of the proposed algorithm is demonstrated by a simple laboratory setup with LabVIEW program and actual recorded waveforms. With the help of accurate time locating of the wavelet analysis and correct event classification of ADALINE, power system monitoring could provide accurate and useful information to power grids via the developing advanced metering infrastructure.

Original languageEnglish
Title of host publication2010 International Conference on Power System Technology
Subtitle of host publicationTechnological Innovations Making Power Grid Smarter, POWERCON2010
DOIs
StatePublished - 2010
Event2010 International Conference on Power System Technology: Technological Innovations Making Power Grid Smarter, POWERCON2010 - Hangzhou, China
Duration: 24 Oct 201028 Oct 2010

Publication series

Name2010 International Conference on Power System Technology: Technological Innovations Making Power Grid Smarter, POWERCON2010

Conference

Conference2010 International Conference on Power System Technology: Technological Innovations Making Power Grid Smarter, POWERCON2010
Country/TerritoryChina
CityHangzhou
Period24/10/1028/10/10

Keywords

  • ADALINE
  • Advanced metering infrastructure
  • Power quality event
  • Smart grid
  • Wavelet analysis

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