Determining the optimal parameters of a hybrid microgrid for supplying the University of Kirkuk in Iraq

dc.contributor.authorFalih, H.M.
dc.contributor.authorDemirel, H.
dc.contributor.authorAl-Bayaty, H.
dc.date.accessioned2024-09-29T16:20:46Z
dc.date.available2024-09-29T16:20:46Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.descriptionPower Electronics in Everything (PEiE); TMEiCen_US
dc.description12th International Conference on Smart Grid, icSmartGrid 2024 -- 27 May 2024 through 29 May 2024 -- Hybrid, Setubal -- 200813en_US
dc.description.abstractThe gap between the electrical power demand and the available power supply keeps widening in Iraq due to the occurrence of reduction of natural gas supply. That causes repeated power outages in many districts in the country. Adding to that sustainability issue, the problem of emission of greenhouse gases that boost climate change is the most common. Worldwide now. Combining renewable energy sources (RES) with energy storage can play the role of a feasible alternative to fossil fuel-based energy sources. Many studies in the literature presented the design, optimization, and evaluation of the feasibility of grid-connected microgrid systems technically and economically. However, there is still a clear gap in knowledge that might void the obtained results of all this conducted research in the case of power outage conditions. This study aims to determine the optimum system parameters and component sizing to consider what to do in power outage conditions. This guarantees a feasible solution technically, economically, and environmentally at the time of normality and when the grid goes down. Finding a solution to fill this gap, this research utilizes the merits of the Homor Pro software, engineering its design parameters, creating smart search spaces to design a microgrid composed of PV, battery energy storage, and diesel generator to supply the load demand of the University of Kirkuk in Iraq. The aim is to calculate the optimum size of each energy system component to find the most profitable solution, zero unmet demand, and the minimum CO2 emission at normal and outage conditions. To achieve that, the designed system used real-time meteorological data from the university site to find out the optimum parameters to realize the technical and economical optimization. © 2024 IEEE.en_US
dc.identifier.doi10.1109/icSmartGrid61824.2024.10578148
dc.identifier.endpage698en_US
dc.identifier.isbn979-835036161-2
dc.identifier.scopus2-s2.0-85199438355en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage693en_US
dc.identifier.urihttps://doi.org/10.1109/icSmartGrid61824.2024.10578148
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9317
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof12th International Conference on Smart Grid, icSmartGrid 2024en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHomer proen_US
dc.subjectMicrogriden_US
dc.subjectoptimizationen_US
dc.subjectpower griden_US
dc.subjectPVen_US
dc.subjectrenewable energy sourcesen_US
dc.titleDetermining the optimal parameters of a hybrid microgrid for supplying the University of Kirkuk in Iraqen_US
dc.typeConference Objecten_US

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