Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2264
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dc.contributor.authorMahapatra, Sheila-
dc.contributor.authorRaj, Saurav-
dc.contributor.authorSharma, Renu-
dc.date.accessioned2023-12-09T08:56:03Z-
dc.date.available2023-12-09T08:56:03Z-
dc.date.issued2022-
dc.identifier.citationpp. 1-6en_US
dc.identifier.isbn9781665478397-
dc.identifier.urihttps://doi.org/10.1109/ODICON54453.2022.10009953-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2264-
dc.description.abstractThe research work presents the integration of ten chaotic maps into a contemporary approach called Chimp Optimization Algorithm (COA) promoting solution in search space with elevated mobility. The research attempts a dual level strategy to authenticate the versatility of the recommended method first by testing on assorted benchmarked test functions followed by application of the endorsed hybrid algorithm in reactive power dispatch (RPD) problem with inclusion of FACTS devices which is exhibited as a formidable operational issue in power systems. The results obtained candidly establishes that merging of chaotic maps (especially Chaotic 4) enhances the performance of COA, and it generates superior results when contrasted with other established algorithm as presented in literature. © 2022 IEEE.en_US
dc.language.isoenen_US
dc.publisher2022 2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON)en_US
dc.subjectChaotic Mapsen_US
dc.subjectChimp Optimization Algorithmen_US
dc.subjectReactive power dispatchen_US
dc.subjectSVCen_US
dc.subjectTCSCen_US
dc.titleEnhancing Power System Security By Chaotic Hybrid Intelligence Strategy For Reactive Power Dispatchen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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