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An ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converter

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dc.citedby94
dc.contributor.authorPriyadarshi N.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorPadmanaban S.en_US
dc.contributor.authorAzam F.en_US
dc.contributor.authorid57195679733en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid18134802000en_US
dc.contributor.authorid57195670768en_US
dc.date.accessioned2023-05-29T07:30:54Z
dc.date.available2023-05-29T07:30:54Z
dc.date.issued2019
dc.descriptionAnt colony optimization; Artificial intelligence; Computer circuits; DC-DC converters; Electric inverters; Fuzzy logic; Maximum power point trackers; Particle swarm optimization (PSO); Permanent magnets; Secondary batteries; Synchronous generators; Two term control systems; Wind power; Ant Colony Optimization (ACO); D-space; Fuzzy logic control; Fuzzy logic control (FLC); Particle swarm optimization algorithm; Permanent Magnet Synchronous generator (PMSG); Proportional-integral control; Stand alone power systems; Electric rectifiersen_US
dc.description.abstractThis research work explains the practical realization of hybrid solar wind-based standalone power system with maximum power point tracker (MPPT) to produce electrical power in rural places (residential applications). The wind inspired Ant Colony Optimization (ACO)-based MPPT algorithm is employed for the purpose of fast and accurate tracking power from wind energy system. Fuzzy Logic Control (FLC) inverter controlling strategy is adopted in this presented work compared to classical proportional-integral (PI) control. Moreover, single Cuk converter is operated as impedance power adapter to execute MPPT functioning. Here, ACO-based MPPT has been implemented with no voltage and current extra circuit requirement compared to existing evolutionary algorithms single cuk converter is employed to improve conversion efficiency of converter by maximizing power stages. DC-link voltage can be regulated by placing Cuk converter Permanent Magnet Synchronous Generator (PMSG) linked rectifier and inverter. The proposed MPPT method is responsible for rapid battery charging and gives power dispersion of battery for hybrid PV-Wind system. ACO-based MPPT provides seven times faster convergence compared to the particle swarm optimization (PSO) algorithm for achievement of maximum power point (MPP) and tracking efficiency. Satisfactory practical results have been realized using the dSPACE (DS1104) platform that justify the superiority of proposed algorithms designed under various operating situations. � 2019 by the authors.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNoen12010167
dc.identifier.doi10.3390/en12010167
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85060016736
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85060016736&doi=10.3390%2fen12010167&partnerID=40&md5=163d880bfc131f26909bc31e652c3609
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25043
dc.identifier.volume12
dc.publisherMDPI AGen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleEnergies
dc.titleAn ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converteren_US
dc.typeArticleen_US
dspace.entity.typePublication
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