Hybrid renewable power generation and modeling (PV and wind)

dc.contributor.advisorÇevik, Mesut
dc.contributor.authorAlwakeel, Hussein Mohammed Ali Hammood
dc.date.accessioned2023-12-29T14:00:51Z
dc.date.available2023-12-29T14:00:51Z
dc.date.issued2023en_US
dc.date.submitted2023
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractRenewable energy sources (RES) are becoming increasingly popular for electricity generation for most global electric power grids. Governments, consumers, and investors have recognized hybrid photovoltaic (PV) and wind turbine (WT) storage system technologies as viable options for investigating power demand and reducing carbon emissions from conventional sources. Utility workers may be harmed if they fail to notice that a circuit is still powered in an islanding situation. This occurs when renewable energy sources feed electrical power despite losing external electrical grid power. This thesis proposes modified maximum power point tracking based on fractional order proportional integral (FOPI) controller to harvest the maximum power from wind and PV systems under critical conditions. In order to solve the islanding problems that arise when hybrid photovoltaic, wind turbine, and battery storage systems lose connection to the grid, an improved droop controller based on the maximum power of the PV system for antiislanding and investigating an accurate power-sharing is proposed in this work as a solution to these problems. Power set-points for inverters can vary when operating in grid-connected mode but must all be adjusted when operating in islanded mode. When operating in gridconnected mode, a hybrid system either draws power from or sends power to the primary grid depending on generation and load needs and market policies that optimize efficiency and cost. The suggested hybrid PV-wind-battery system's performance is assessed using the Matlab R2021a program. The outcomes verified the proposed controller's potential to limit DC link voltage while enabling gearless mode transfer. The energy management system (EMS) is tested in both grid-connected and islanded modes of operation to demonstrate the efficiency of the proposed droop control and the EMS-based battery controller. The total harmonic distortion of the output current at the common coupling point was reduced to 1.98%, and the efficiency of the proposed hybrid system reached 97.5%.en_US
dc.identifier.citationAlwakeel,, H. M. A. H. (2023). Hybrid renewable power generation and modeling (PV and wind). (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/4479
dc.identifier.yoktezid832034
dc.institutionauthorAlwakeel, Hussein Mohammed Ali Hammood
dc.language.isoen
dc.publisherAltınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsüen_US
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRenewable Energy Sourcesen_US
dc.subjectHybrid PV-WT-Battery Systemen_US
dc.subjectIslanding Detectionen_US
dc.subjectPower Managementen_US
dc.subjectMaximum Power Point Trackingen_US
dc.titleHybrid renewable power generation and modeling (PV and wind)
dc.typeMaster Thesis

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