Neuro-fuzzy and nondominated sorting genetic algorithm based power system stabilizer design

Guesmi, Tawfik

International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 6 (June 2017), Pages: 19-27

Title: Neuro-fuzzy and nondominated sorting genetic algorithm based power system stabilizer design

Author(s): Tawfik Guesmi *

Affiliation(s):

College of Engineering, University of Hail, Hail, Saudi Arabia

https://doi.org/10.21833/ijaas.2017.06.003

Full Text - PDF XML

Abstract:

This study suggests a new method for online enhancement of multimachine system stability. Two steps centered on adjusting power system stabilizers (PSSs) are examined. Firstly, the PSS parameters are tuned off-line using an elitist optimization technique based on genetic algorithms symbolized by NSGAII over a large set of operating conditions. NSGAII was employed to move all electromechanical modes in a pre-specified area in the s-plan. Then, a flexible fuzzy logic-based neural network is proposed to adjust the parameters of the PSSs at any operating condition that can be outside the off-line set by exploiting the off-line results. The suggested controllers are tested by using multi-machine system over some scenarios of serious faults and system configurations. Simulations results show the efficiency and sturdiness of the suggested stabilizers in enhancing the overall system dynamics in real-time at any loading condition selected arbitrarily.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Power system stabilizer, Evolutionary algorithms, Non-dominated sorting genetic, algorithms, Adaptive neuro-fuzzy inference system

Article History: Received 8 January 2017, Received in revised form 21 March 2017, Accepted 27 April 2017

Digital Object Identifier:

https://doi.org/10.21833/ijaas.2017.06.003

Citation:

Guesmi T (2017). Neuro-fuzzy and nondominated sorting genetic algorithm based power system stabilizer design. International Journal of Advanced and Applied Sciences, 4(6): 19-27

http://www.science-gate.com/IJAAS/V4I6/Guesmi.html

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