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Performance estimation of chaos embedded gravitational search algorithm for power converter applications [articol]

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dc.contributor.author Sankara Kumar, S.
dc.contributor.author Willjuice Iruthayarajan, M.
dc.contributor.author Sivakumar, T.
dc.date.accessioned 2024-10-24T08:06:42Z
dc.date.available 2024-10-24T08:06:42Z
dc.date.issued 2019
dc.identifier.citation Sankara Kumar, S.; Willjuice Iruthayarajan, M.; Sivakumar, T.: Performance estimation of chaos embedded gravitational search algorithm for power converter applications. Timişoara: Editura Politehnica, 2019. en_US
dc.identifier.issn 1582-4594
dc.identifier.uri https://dspace.upt.ro/xmlui/handle/123456789/6820
dc.description.abstract In this paper, Selective Harmonic Elimination (SHE) technique is utilized to reduce the dominant lower order frequencies present in the output voltage waveform of cascaded H-Bridge Multilevel Inverter (CHBMLI). Chaotic Gravitational Search Algorithm (CGSA) is applied to obtain the optimal switching angles, modulation index and input voltage values of seven level and eleven level cascaded multilevel inverter. The results obtained from various chaotic maps are compared with the already reported firefly and differential search algorithm based MLI for fixed input voltages and modulation index. From the simulation results, it is found that the Tent chaotic map (CGSA10) of CGSA provides better performance with minimum lower order harmonics and Total Harmonic Distortion (THD). The statistical performance analysis also confirms that the Tent chaotic map of CGSA provides consistent solutions with minimum standard deviation values as compared with other chaotic maps embedded in GSA. en_US
dc.language.iso en en_US
dc.publisher Timișoara : Editura Politehnica en_US
dc.relation.ispartofseries Journal of Electrical Engineering;Vol 19 No 4
dc.subject Multilevel inverters en_US
dc.subject Selective Harmonic Elimination en_US
dc.subject CGSA en_US
dc.subject Harmonics en_US
dc.subject THD en_US
dc.title Performance estimation of chaos embedded gravitational search algorithm for power converter applications [articol] en_US
dc.type Article en_US


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