Optimizing PV System Placement in Kirkuk City Power System Using PSO Algorithm

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dc.authorscopusid59239967800
dc.authorscopusid58140318800
dc.authorscopusid57223961736
dc.authorscopusid59239795000
dc.authorscopusid57202966631
dc.authorscopusid57201916047
dc.authorscopusid36871460900
dc.contributor.authorAli, Isam Taha
dc.contributor.authorYahya, Adel E. M.
dc.contributor.authorAmer, Ayman
dc.contributor.authorSarreb, Rebha Daw
dc.contributor.authorYahya, Khalid
dc.contributor.authorAldababsa, Mahmoud
dc.contributor.authorHafez, Mohamed
dc.date.accessioned2024-09-11T19:58:58Z
dc.date.available2024-09-11T19:58:58Z
dc.date.issued2023
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023 -- 27 December 2023 through 28 December 2023 -- Zarqa -- 201143en_US
dc.description.abstractPhotovoltaics (PV) are a rapidly growing source of energy worldwide and are typically installed as distributed generation in distribution systems. PV technology has emerged as a promising solution for increasing power demand and reducing greenhouse gas emissions. Placing PV systems in distribution systems is crucial for overall performance, but it is a complex task with multiple constraints and objectives. Particle Swarm Optimization (PSO) is a metaheuristic optimization technique based on bird flocking behavior that has proven to be a valuable tool for solving optimization problems. The PSO algorithm can find the optimal location, size, and orientation of PV panels in a distribution system, considering power losses, voltage stability, and system capacity. This work analyzes the Kirkuk City Power System (IEEE-5 BusBar) to find the optimal location and size for PV systems, improve voltage levels, and reduce losses. The PSO algorithm compares the power system before and after connecting the PV system. © 2023 IEEE.en_US
dc.identifier.doi10.1109/EICEEAI60672.2023.10590146
dc.identifier.isbn979-835037336-3en_US
dc.identifier.scopus2-s2.0-85200009627en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/EICEEAI60672.2023.10590146
dc.identifier.urihttps://hdl.handle.net/11363/8599
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectDistribution System; Optimum Placement; PSO; PVen_US
dc.titleOptimizing PV System Placement in Kirkuk City Power System Using PSO Algorithmen_US
dc.typeConference Objecten_US

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