A bio-inspired novel optimization technique for reactive power flow

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dc.authoridPadmanaban, Sanjeevikumar/0000-0003-3212-2750
dc.authoridraj, ajayvimal/0000-0002-8898-0394
dc.authoridChristy, Ananthi/0000-0003-0140-3541
dc.contributor.authorChristy, Ananthy
dc.contributor.authorRaj, Perianayagam Ajay-D-Vimal
dc.contributor.authorPadmanaban, Sanjeevikumar
dc.contributor.authorSelvamuthukumaran, Rajasekar
dc.contributor.authorErtas, Ahmet H.
dc.date.accessioned2024-09-29T15:57:31Z
dc.date.available2024-09-29T15:57:31Z
dc.date.issued2016
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn the arena of power system operation and planning, the optimal reactive power flow (ORPF) plays a pivotal role, wherein the application of classical techniques poses issues in obtaining the optimal solutions and hence is usually employed with the meta-heuristic and/or bio-inspired techniques, with a view to converge swiftly towards an optimal solution. Usually, ORPF can have uneven, intermittent objectives and multi-constraint functions; and such intricacies of ORPF can best be suppressed by employing a combination of nature-inspired algorithms as a process of hybridization. Thus, in this paper, an approach has been endeavoured to hybridize the Biogeography based optimization (BBO) with that of the predator-prey optimization (PPO), so as to be rightfully termed as adaptive biogeography based predator-prey optimization (ABPPO). In such a way, this paper elucidates a novel hybrid technique that includes adaptive mutation combined with predator-prey pattern for attaining the global optimal point. In adaptive mutation scheme, the diversity measure of distance-to-average point is the predominant feature that dodges the supremacy of extremely feasible solutions throughout enhancing the population diversity. The predators explore around the elite prey in a determined way, whereas the preys search the solution space so as to evade from the predators. This tool improves the utilization and searching abilities of the BBO exploration procedure, thereby offers a mean of evading from the suboptimal point and imposes the populace to attain at the global best point. The efficacy of this hybrid scheme is validated against the standard test cases of IEEE-30 and IEEE-57 bus systems. The results show the efficiency and vitality of the proposed method. (C) 2016 Karabuk University. Publishing services by Elsevier B.V.en_US
dc.identifier.doi10.1016/j.jestch.2016.07.011
dc.identifier.endpage1692en_US
dc.identifier.issn2215-0986
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85018307708en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1682en_US
dc.identifier.urihttps://doi.org/10.1016/j.jestch.2016.07.011
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4860
dc.identifier.volume19en_US
dc.identifier.wosWOS:000410695900006en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier - Division Reed Elsevier India Pvt Ltden_US
dc.relation.ispartofEngineering Science and Technology-An International Journal-Jestechen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectOptimal reactive power flowen_US
dc.subjectBiogeography based optimizationen_US
dc.subjectDistance-to-average pointen_US
dc.subjectPredator-prey optimizationen_US
dc.titleA bio-inspired novel optimization technique for reactive power flowen_US
dc.typeArticleen_US

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