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

Omar Kahouli; Badr Alshammari; Bilel Dhouib

doi:10.1109/SSD.2019.8893264

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

Omar Kahouli, Badr Alshammari and Bilel Dhouib

2019 16TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), pp.435-440

International Multi-Conference on Systems Signals and Devices

01/01/2019

DOI: https://doi.org/10.1109/SSD.2019.8893264

Abstract

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

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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Title: Application of ANN and ANFIS techniques for PSS tuning in a multimachine power system
Creators - without role: Omar Kahouli - Natl Engn Sch Sfax, Control & Energies Management CEM Lab, Sfax, Tunisia
Badr Alshammari - University of Ha'il
Bilel Dhouib - Jazan University
Contributors - without role: S Yarkan
Publication Details: 2019 16TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), pp.435-440
Series: International Multi-Conference on Systems Signals and Devices
Publisher: IEEE
Number of pages: 6
Identifiers: 9932142008331
Academic Unit: University Ha'il
Language: English
Resource Type: Conference proceeding