Simulation and analysis of optimal power injection system based on intelligent controller

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dc.contributor.authorAssaf, Abdullah Sami
dc.contributor.authorKurnaz, Sefer
dc.date.accessioned2024-12-21T09:41:12Z
dc.date.available2024-12-21T09:41:12Z
dc.date.issued2024en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractMany countries are seeing significant improvements in the fields of building, urban planning, technology, network management, and the need for diverse forms of energy and different generating techniques, as well as the necessity for low and middle distributing voltage in all areas. Depending on the needs of the user, starting needs, capacity, intended usage, waste output, and economic efficiency, many methods are used to generate this energy. To solve the problems brought on by the suggested excessive voltage of the provided system, energy collection devices can be used, and they can be used efficiently with smart grid intelligent control systems. A mathematical model was developed with four main components: simulation, correlation, and evaluation following the solar the program was set of photovoltaic panels solar panels, An Adaptive Neuro-Fuzzy Inference System (ANFIS) controller based on Maximum Power Point Tracking (MPPT), as well as 600-volt electric network, in order to examine and analyze the viability of the proposed network collaboration and storage of electricity in private photovoltaic networks based on solar energy. This phase next looks at the output power impact on the network, as well as the influence of network temperature and coincident radiation. An analysis was conducted to ascertain the impact of these basic limitations on actual use. This section covers the computer simulation of the proposed system. The final section contains the created system's block diagram. The system's input light is transformed into electricity that circulates in this system's power. The main electrical system with a 600-volt capacity can use this energy. The suggested system was evaluated using MATLAB simulation tapes and graphing for each system component, and the simulation outcomes of the entire system were considered.en_US
dc.identifier.citationAssaf, A. S., Kurnaz, S. (2024). Simulation and analysis of optimal power injection system based on intelligent controller. International Journal of Electrical and Electronics Research, 12(1), 292-299. 10.37391/IJEER.120140en_US
dc.identifier.endpage299en_US
dc.identifier.issn2347-470X
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85211392565
dc.identifier.scopusqualityQ3
dc.identifier.startpage292en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/5087
dc.identifier.volume12en_US
dc.indekslendigikaynakScopus
dc.institutionauthorAssaf, Abdullah Sami
dc.institutionauthorKurnaz, Sefer
dc.language.isoen
dc.publisherForex Publicationen_US
dc.relation.ispartofInternational Journal of Electrical and Electronics Research
dc.relation.isversionof10.37391/IJEER.120140en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectANFIS Controlleren_US
dc.subjectElectrical Distributionen_US
dc.subjectMPPTen_US
dc.subjectNeuro-Fuzzyen_US
dc.subjectOn Griden_US
dc.subjectPower Injectionen_US
dc.titleSimulation and analysis of optimal power injection system based on intelligent controller
dc.typeArticle

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