Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1577
Title: An Improved Genetic Algorithm based Power System Stabilizer for power system stabilization
Authors: Mustapha, H.
Buhari, M.
Sadiq, A. A.
Keywords: Power Systems Oscillation, Genetic Algorithm, Improved Genetic Algorithm, Leas Lag Power System Stabilizer
Issue Date: 2019
Publisher: IEEE AFRICON, Accra, Ghana
Citation: H. Mustapha, M. Buhari and A. S. Ahmad, "An Improved Genetic Algorithm based Power System Stabilizer for power system stabilization," 2019 IEEE AFRICON, 2019, pp. 1-5, doi: 10.1109/AFRICON46755.2019.9134024.
Series/Report no.: INSPEC Accession Number;19750085
Abstract: This paper considers the damping of the local- mode power system oscillation using Lead-Lag power system stabilizer (PSS). Thus, a simple single-machine infinite-bus power system is used. The Lead-Lag PSS parameters are tuned using Genetic Algorithm Optimization (GAs). Simulation results are presented with and without the proposed controller. Also, a comparison study is presented when using the conventional Lead-Lag PSS, Simple Genetic Algorithm Optimization-based PSS, and when using the Improved Genetic Algorithm Optimization-based PSS. The results obtained show the significance of using improved Genetic Algorithm Optimization as compared to using conventional PSS and Simple Genetic Algorithm based PSS
Description: An Improved GA based PSS tuning
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1577
Appears in Collections:Electrical/Electronic Engineering

Files in This Item:
File Description SizeFormat 
mustapha2019.pdf332.9 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.