Enhancing frequency deviation of a microgrid in connected mode using particle swarm optimization

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dc.contributor.authorJumaah, Ali
dc.contributor.authorCansever, Galip
dc.date.accessioned2024-02-20T12:07:06Z
dc.date.available2024-02-20T12:07:06Z
dc.date.issued2023en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractThe demand for electric power has been increasing salient lately, causing carbon emissions from energy goes up by more than half when compared to the period when the industrial revolution began, that raising concerns about global warming. As a result, the researchers focused on the movement toward renewable energy, including solar energy, wind energy, and biomass energy, rather than conventional energy, which depends on fuel. Because the generation point of electric power is relatively far from the point of consumption, therefore electric power transmission lines are the means of delivering energy to the consumer, it has become important to study the electrical system and develop the most appropriate solutions to the problems that occur in it. One of the researchers' top priorities is keeping the system's frequency stable. Various smart solutions were utilized in the researchers' studies to adjust the frequency stability of power systems. An artificial intelligence-based technique was utilized for modeling the proper control of the frequency of the microgrid, like the operation of the human brain. In this study, a model of a microgrid with a solar-energy station connected to the main grid was designed. The control that will use the PSO algorithm to enhance PID was compared and analyzed, and the smart controllers were designed and tested using MATLAB.en_US
dc.identifier.citationJumaah, A., & Cansever, G. (2023, August). Enhancing frequency deviation of a microgrid in connected mode using particle swarm optimization. In 2023 4th International Conference on Clean and Green Energy Engineering (CGEE) (pp. 25-30). IEEE. 10.1109/CGEE59468.2023.10351918en_US
dc.identifier.endpage30en_US
dc.identifier.isbn9798350339796
dc.identifier.scopus2-s2.0-85182741741
dc.identifier.scopusqualityN/A
dc.identifier.startpage25en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/4596
dc.identifier.wosWOS:001192270900005
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorJumaah, Ali
dc.institutionauthorCansever, Galip
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2023 4th International Conference on Clean and Green Energy Engineering, CGEE 2023
dc.relation.isversionof10.1109/CGEE59468.2023.10351918en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectIntegralen_US
dc.subjectITAE (Integral of Time multiplied by Absolute Error)en_US
dc.subjectMicrogrid (MG)en_US
dc.subjectPID (Proportional)en_US
dc.subjectPSO (Particle Swarm Optimization)en_US
dc.titleEnhancing frequency deviation of a microgrid in connected mode using particle swarm optimization
dc.typeConference Object

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