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dc.contributor.authorMustapha, H.-
dc.contributor.authorBuhari, M.-
dc.contributor.authorSadiq, A. A.-
dc.date.accessioned2021-06-05T20:08:33Z-
dc.date.available2021-06-05T20:08:33Z-
dc.date.issued2019-
dc.identifier.citationH. 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.en_US
dc.identifier.other10.1109/AFRICON46755.2019.9134024-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/1577-
dc.descriptionAn Improved GA based PSS tuningen_US
dc.description.abstractThis 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 PSSen_US
dc.language.isoenen_US
dc.publisherIEEE AFRICON, Accra, Ghanaen_US
dc.relation.ispartofseriesINSPEC Accession Number;19750085-
dc.subjectPower Systems Oscillation, Genetic Algorithm, Improved Genetic Algorithm, Leas Lag Power System Stabilizeren_US
dc.titleAn Improved Genetic Algorithm based Power System Stabilizer for power system stabilizationen_US
dc.typeArticleen_US
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