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http://irepo.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 | Size | Format | |
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mustapha2019.pdf | 332.9 kB | Adobe PDF | View/Open |
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