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dc.contributor.authorBai, Wenlei
dc.contributor.authorEke, Ibrahim
dc.contributor.authorLee, Kwang Y.
dc.date.accessioned2020-06-25T18:15:45Z
dc.date.available2020-06-25T18:15:45Z
dc.date.issued2015
dc.identifier.isbn978-1-4673-8040-9
dc.identifier.issn1944-9925
dc.identifier.urihttps://hdl.handle.net/20.500.12587/6265
dc.descriptionGeneral Meeting of the IEEE-Power-and-Energy-Society -- JUL 26-30, 2015 -- Denver, COen_US
dc.descriptionEKE, ibrahim/0000-0003-4792-238Xen_US
dc.descriptionWOS: 000371397503195en_US
dc.description.abstractWind energy has been playing a critical role in modern electric power system due to the fact that wind is free of cost and environment-friendly. However the inherent intermittency of wind has complicated system operation such as optimal power flow (OPF). In this paper, the authors present a stochastic OPF model integrated with wind power (WOPF). Since WOPF is a highly non-linear and non-convex problem, a heuristic method, artificial bee colony (ABC), is utilized to handle the problem. Heuristic methods are credited for their simplicity to solve complicated non-linear optimization problem without approximating the system and the ability to find better global optimum. Two IEEE systems (30 and 118 bus) are used to test the validity and effectiveness of the method.en_US
dc.description.sponsorshipIEEE Power & Energy Socen_US
dc.language.isoengen_US
dc.publisherIeeeen_US
dc.relation.ispartofseriesIEEE Power and Energy Society General Meeting PESGM
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWind poweren_US
dc.subjectartificial bee colony (ABC)en_US
dc.subjectstochastic optimal power flow (OPF)en_US
dc.subjectheuristic optimizationen_US
dc.titleHeuristic Optimization for Wind Energy Integrated Optimal Power Flowen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentKırıkkale Üniversitesien_US
dc.relation.journal2015 Ieee Power & Energy Society General Meetingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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