Optimum Fuel Cost in Load Flow Analysis of Smart Grid by Using Artificial Bee Colony Algorithm

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dc.authoridKAYGUSUZ, ASİM/0000-0003-2905-1816
dc.authoridCINAR, Mehmet/0000-0002-1542-9120
dc.authorwosidKAYGUSUZ, ASİM/C-2265-2015
dc.contributor.authorCinar, Mehmet
dc.contributor.authorKaygusuz, Asim
dc.date.accessioned2024-08-04T20:46:55Z
dc.date.available2024-08-04T20:46:55Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractSmart grids have a structure that can feel overloads with real-time communication infrastructure, regulate energy flow directions, optimize the use of renewable energy sources and reduce user costs. The smart grid vision aims to develop the power system towards a network that is well integrated with advanced measurement technologies, wide area communication, and automatic controls. The benefits include fast decision making, high controllability, and system reliability. Various optimization methods are used to reduce the optimum fuel cost in the load flow analysis in smart grids. The classical optimization methods that have been used before have now been replaced by intuitive and herd based algorithms. One of the herd based algorithms is the artificial bee colony algorithm. The use of an artificial bee colony algorithm is often preferred in smart grids since it is flexible and the number of parameters is less than other algorithms and the online run time is low. In this study, an artificial bee colony algorithm is mentioned from herd based algorithms to obtain optimum fuel cost in the smart grid. The program written in the MATLAB environment was applied to the IEEE30 test busbar system and the results were compared to other heuristic algorithms.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Sci,Inonu Univ, Comp Sci Dept,Inonu Univ, Muhendisli Fakultesien_US
dc.identifier.doi10.1109/idap.2019.8875893
dc.identifier.scopus2-s2.0-85074895362en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/idap.2019.8875893
dc.identifier.urihttps://hdl.handle.net/11616/99045
dc.identifier.wosWOS:000591781100025en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing (Idap 2019)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSmart griden_US
dc.subjectartificial bee colony algorithmen_US
dc.subjectoptimum fuel costen_US
dc.subjectload flow analysisen_US
dc.titleOptimum Fuel Cost in Load Flow Analysis of Smart Grid by Using Artificial Bee Colony Algorithmen_US
dc.typeConference Objecten_US

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