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  4. Département des Energies Renouvelables - Master
Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/36922
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dc.contributor.advisorKhentout, Abd Elkader-
dc.contributor.authorMimouni, Elhocine-
dc.contributor.authorDebbagh, Mohammed houari-
dc.date.accessioned2024-09-29T15:24:31Z-
dc.date.available2024-09-29T15:24:31Z-
dc.date.issued2024-
dc.identifier.urihttps://dspace.univ-ouargla.dz/jspui/handle/123456789/36922-
dc.descriptionUniversity Kasdi Merbah - Ouargla Faculty of Hydrocarbons and Energy Renewable and earth and universe sciences Department of Renewable Energy Thesis Master Academic Field: Electrotecnique Specialty: Renewable Energies in Electrotecniqueen_US
dc.description.abstractThe Algerian government aims to develop agricultural projects in remote desert lands away from urban areas and electricity networks. In this memo, we met the energy needs of farmer investors by studying how to optimizing the solar/wind hybrid energy system using genetic algorithm (GA) technology, considering economic and environmental factors as well as system reliability to reduce costs and increase efficiency. Matlab software was used to formulate and optimize this problem, and the results showed the effectiveness of the mentioned method when applied to a hybrid system exampleen_US
dc.language.isoenen_US
dc.subjectsolar energyen_US
dc.subjectwind energyen_US
dc.subjecthybrid systemen_US
dc.subjectoptimizationen_US
dc.subjectgenetic algorithmen_US
dc.titleEnergy Control of a Hybrid System Combining Wind and Solar Energyen_US
dc.typeThesisen_US
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