Use of the Genetic Algorithm-Based Fuzzy Logic Controller for Load-Frequency Control in a Two Area Interconnected Power System

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dc.contributor.authorCam, Ertugrul
dc.contributor.authorGorel, Goksu
dc.contributor.authorMamur, Hayati
dc.date.accessioned2020-06-25T18:23:09Z
dc.date.available2020-06-25T18:23:09Z
dc.date.issued2017
dc.departmentKırıkkale Üniversitesi
dc.descriptionCam, Ertugrul/0000-0001-6491-9225; Gorel, Goksu/0000-0002-2852-5760
dc.description.abstractThe use of renewable energy resources has created some problems for power systems. One of the most important of these is load frequency control (LFC). In this study, in order to solve the LFC problem, modern control methods were applied to a two area multi source interconnected power system. A photovoltaic solar power plant (PV-SPP) was also connected, in order to identify the harmful effects on the frequency of the system. A new Genetic-based Fuzzy Logic (GA-FL) controller was designed to control the frequency of the system. For comparison, conventional proportional-integral-derivative (PID), fuzzy logic (FL), and Genetic Algorithm (GA)-PID controllers were also designed. The new control method exhibited a better performance than the conventional and other modern control methods, because of the low overshoot and short settling time. All simulations were realized with the Matlab-Simulink program.en_US
dc.identifier.citationCam E, Gorel G, Mamur H. Use of the Genetic Algorithm-Based Fuzzy Logic Controller for Load-Frequency Control in a Two Area Interconnected Power System. Applied Sciences. 2017; 7(3):308.en_US
dc.identifier.doi10.3390/app7030308
dc.identifier.issn2076-3417
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85032286149
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/app7030308
dc.identifier.urihttps://hdl.handle.net/20.500.12587/7021
dc.identifier.volume7en_US
dc.identifier.wosWOS:000398718700099
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi Agen_US
dc.relation.ispartofApplied Sciences-Basel
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectgenetic algorithmen_US
dc.subjectfuzzy logic controlleren_US
dc.subjectload frequency controlen_US
dc.titleUse of the Genetic Algorithm-Based Fuzzy Logic Controller for Load-Frequency Control in a Two Area Interconnected Power Systemen_US
dc.typeArticle

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