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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/ssd.20...
Conference object . 2019 . Peer-reviewed
License: IEEE Copyright
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Application of ANN and ANFIS techniques for PSS tuning in a multimachine power system

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Mar 2019Publisher:IEEEJournal:2019 16th International Multi-Conference on Systems, Signals & Devices (SSD)
Authors: Bilel Dhouib; Omar Kahouli; Badr Alshammari;

doi: 10.1109/ssd.2019.8893264

Application of ANN and ANFIS techniques for PSS tuning in a multimachine power system

Abstract

This paper presents a study of performances evaluation of lead-lag Power System Stabilizers ‘PSSs’ equipped with adaptive mechanisms performed on the basis of artificial intelligence techniques (neuronal networks, and neuro-fuzzy networks). These adaptive and intelligent PSSs with on-line self-tuned parameters have allowed a good damping of rotoric oscillations for various operating conditions and disturbances. Based on a linearized model of a multimachine power system, an optimized design of lead-lag PSSs has been performed using NSGA-II optimization technique.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
Related to Research communities
Energy Research