Optimal power flow for Iraqi power system

Basit Öğe Kaydı
dc.contributor.authorAnwer, Afaneen
dc.contributor.authorAlmosawi, Ali H.
dc.contributor.authorAlshabbani, Ghazwan
dc.date.accessioned2021-05-15T12:49:43Z
dc.date.available2021-05-15T12:49:43Z
dc.date.issued2020
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Bilgisayar Mühendisliği Bölümüen_US
dc.description2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2020 -- 26 June 2020 through 27 June 2020 -- -- 162106
dc.description.abstractIn operating and planning power systems, operators need to make decisions for different goals. As it happened, many tools were developed to assist operators. One of the tools that helps operators operate the system optimally under certain constraints is the optimal power flow (OPF). This paper offers an effective and reliable dynamic approach for solving the problem of optimum power flow. The proposed approach employs the genetic algorithm (GA) to optimize the control variables for the (OPF) issue. The target function is decreasing the cost of generation and the losses of transmission. The proposed algorithm applied to the Iraqi power system 39-bus, and the results showed the strength, durability, and proposed of the effectiveness genetic algorithm in solving the OPF issue. © 2020 IEEE.en_US
dc.identifier.doi10.1109/HORA49412.2020.9152868
dc.identifier.isbn9781728193526
dc.identifier.scopus2-s2.0-85089707002
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/HORA49412.2020.9152868
dc.identifier.urihttps://hdl.handle.net/20.500.12939/1104
dc.identifier.wosWOS:000644404300093
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAlshabbani, Ghazwan
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofHORA 2020 - 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCost Systemen_US
dc.subjectGenetic Algorithm (GA)en_US
dc.subjectOptimal Power Flow (OPF)en_US
dc.subjectTransmission lossesen_US
dc.titleOptimal power flow for Iraqi power system
dc.typeConference Object

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Scopus İndeksli Yayınlar Koleksiyonu
Bilgisayar Mühendisliği Bölümü Koleksiyonu
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