Improved Perturb & Observe Method by Particle Swarm Optimization Algorithm for Photovoltaic System

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dc.contributor.authorBechouat, Mohcene
dc.contributor.authorFeraga, Chams-Eddine
dc.contributor.authorAttia, Mohammed El hadi
dc.contributor.authorSedraoui, Moussa
dc.date.accessioned2019-05-27T08:48:53Z
dc.date.available2019-05-27T08:48:53Z
dc.date.issued2018-12-10
dc.descriptionInternational Symposium on Mechatronics and Renewable Energies El-Oued 10- 11 December 2018en_US
dc.description.abstractThe Perturb and Observe (P&O) maximum power point tracking (MPPT) algorithm can be not robust where the rapid change in atmospheric conditions, especially it happened in irradiance, caused by the heuristic choice for the duty cycle perturbation and the duty cycle initialization. In this paper, it is shown how to integrate optimization method called Particle Swarm optimization (PSO) in P&O to choice the duty cycle perturbation and the first initialization condition based in maximizing power output. Using a DC-DC converter “Boost” associated with the photovoltaic panel; so working to get the maximum power that is mean, earn a good yield. The results of the simulation performed under the tool Simulink/Matlab shows the effectiveness of the integration PSO optimization method in P&O.en_US
dc.identifier.urihttp://dspace.univ-eloued.dz/handle/123456789/1712
dc.language.isoenen_US
dc.publisherUniversity of Eloued جامعة الواديen_US
dc.subjectPhotovoltaic systems, Boost, PWM, MPPT, P&O, PSOen_US
dc.titleImproved Perturb & Observe Method by Particle Swarm Optimization Algorithm for Photovoltaic Systemen_US
dc.typeOtheren_US

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01.International Symposium on Mechatronics and Renewable Energies El-Oued 10- 11 December 2018