ADALINE based control strategy for three-phase three-wire UPQC system

Mohammed Qasim, Vinod Khadkikar

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

7 Scopus citations

Abstract

Adaptive linear neuron (ADALINE) is a powerful estimation technique that has been used in power system applications, such as fault detection and classification, and shunt active power filter (APF). In this paper, an ADALINE based approach for control of three-phase three-wire unified power quality conditioner (UPQC) is presented. Two ADALINEs are used in the UPQC control strategy, one for load current fundamental extraction, and other for supply voltage fundamental extraction. The proposed method is evaluated through simulation studies in Matlab/Simulink environment. The ADALINE based UPQC is validated under several operating conditions. It is found that the UPQC can compensate for power quality issues, such as supply voltage harmonics, voltage sag and swell, load current harmonics, and load reactive power.

Original languageBritish English
Title of host publicationProceedings of 2014 16th International Conference on Harmonics and Quality of Power, ICHQP 2014
PublisherIEEE Computer Society
Pages586-590
Number of pages5
ISBN (Print)9781467364874
DOIs
StatePublished - 2014
Event16th International Conference on Harmonics and Quality of Power, ICHQP 2014 - Bucharest, Romania
Duration: 25 May 201428 May 2014

Publication series

NameProceedings of International Conference on Harmonics and Quality of Power, ICHQP
ISSN (Print)1540-6008
ISSN (Electronic)2164-0610

Conference

Conference16th International Conference on Harmonics and Quality of Power, ICHQP 2014
Country/TerritoryRomania
CityBucharest
Period25/05/1428/05/14

Keywords

  • ADALINE
  • Power Quality
  • UPQC

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