Optimal power scheduling of an off-grid renewable hybrid system used for heating and lighting in a typical residential house

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dc.contributor.authorTutkun, Nedim
dc.contributor.authorŞan, Ender Sinan
dc.date.accessioned2020-04-30T23:20:17Z
dc.date.available2020-04-30T23:20:17Z
dc.date.issued2013
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description13th International Conference on Environment and Electrical Engineering (EEEIC) -- NOV 01-03, 2013 -- Wroclaw, POLANDen_US
dc.descriptionWOS: 000345761400064en_US
dc.description.abstractIn Turkey, there is a significant increase in demand for electricity due to population and economic growth taken place in recent years. This is a major economic factor affecting electricity price on market as well as other factors such as an increase in oil and natural gas prices. To be more specific around 50% of electricity is generated by natural gas generators and 95% of natural gas is imported from other countries. However, Turkey has considerable amount of wind and solar energy potentials to generate electricity through wind turbines and photo-voltaic arrays either on-grid or off-grid. An off-grid hybrid system is more attractive in rural areas where access to grid is limited or unavailable. This study focuses on a power scheduling in a simple renewable hybrid system in order to minimize the operational unit cost using the binary-coded genetic algorithm instead of using mixed integer linear programming. The preliminary results indicated that the binary-coded genetic algorithm produced encouraging and meaningful outcomes to minimize operational unit cost in a typical renewable microgrid photo-voltaic/wind hybrid system.en_US
dc.identifier.endpage355en_US
dc.identifier.isbn978-1-4799-2802-6
dc.identifier.startpage352en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/3974
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2013 13Th International Conference On Environment And Electrical Engineering (Eeeic)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic algorithmsen_US
dc.subjectMicrogrid renewable systemsen_US
dc.subjectOptimal power schedulinen_US
dc.subjectCost reductionen_US
dc.titleOptimal power scheduling of an off-grid renewable hybrid system used for heating and lighting in a typical residential houseen_US
dc.typeConference Objecten_US

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