Please use this identifier to cite or link to this item: http://148.72.244.84/xmlui/handle/xmlui/13177
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dc.contributor.authorMohammed Kdair Abd-
dc.date.accessioned2024-03-23T19:51:22Z-
dc.date.available2024-03-23T19:51:22Z-
dc.date.issued2012-06-01-
dc.identifier.citationhttps://djes.info/index.php/djes/article/view/566en_US
dc.identifier.issn1999-8716-
dc.identifier.urihttp://148.72.244.84:8080/xmlui/handle/xmlui/13177-
dc.description.abstractIn this paper application of Particle Swarm Optimization (PSO) based algorithm for Optimal Power Flow (OPF) in Economic Dispatch (ED) was studied. Firstly, this method is dynamic in nature and it beats the arrears of other evolutionary computation techniques such as premature convergence and provides high quality solutions. Secondly, the aim objective is to minimize the fuel cost generation of Iraqi Super Grid (ISG400Kv, 24-bus) by using PSO. Third, the proposed algorithm had been tested based on two system; first tested theoretically (IEEE, 26-bus) and the second was tested practically the Iraqi Super Grid (ISG400Kv, 24-bus) with new data at October, 2010. Finally, the simulated results shows three major benefits of the proposed method on the systems studied as; Cost-minimization generation; Decreasing the energy loss and Enhancement of the voltage profileen_US
dc.language.isoenen_US
dc.publisherUniversity of Diyala – College of Engineeringen_US
dc.subjectEconomic Dispatch, Iraqi Super Grid 400kv, Particle Swarm Optimization, Optimal Power Flowen_US
dc.titleOPTIMAL ECONOMIC DISPATCH BIASED ON PARTICLE SWARM OPTIMIZATION: 400kv IRAQI SUPER GRIDen_US
dc.typeArticleen_US
Appears in Collections:مجلة ديالى للعلوم الهندسية / Diyala Journal of Engineering Sciences (DJES)

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