Modeling and Simulation of A Photovoltaic Cell Module Controlled with Nonlinear Autoregressive Moving Average-L2 Controller

dc.contributor.authorAlkhafaji, Mohammed Ayad
dc.contributor.authorUzun, Yunus
dc.date.accessioned2021-06-21T10:45:39Z
dc.date.available2021-06-21T10:45:39Z
dc.date.issued2020
dc.departmentMühendislik Fakültesi
dc.descriptionUzun, Yunus ( Aksaray, Yazar )
dc.description.abstractThe photovoltaic cells are deemed one of the most important modern sources of renewable energy due to its direct dependence on solar energy, its low maintenance, and environmental protection. These characteristics led many specialists to study and develop this type of renewable energy. This research paper includes simulations for the design of single-diodes solar cells under the influence of different temperatures and saturation conditions to demonstrate the efficacy of the solar cell. It is also known that the solar cell must be linked to a power controller and here it will be used as an artificial neural network (ANN) technology which is the nonlinear autoregressive moving average (NARMA) by using MATLAB program to control the output power of the PV cell. Hence, the simulation results will show the comparison with and without using the NARMA-L2 controller as a maximum power point tracking (MPPT)
dc.identifier.doi10.1109/ICECCE49384.2020.9179460
dc.identifier.endpage-en_US
dc.identifier.isbn978-172817116-6
dc.identifier.issue-en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage-en_US
dc.identifier.urihttps:/dx.doi.org/10.1109/ICECCE49384.2020.9179460
dc.identifier.urihttps://hdl.handle.net/20.500.12451/8128
dc.identifier.volume-en_US
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArtificial Neural Networks Technique ANN
dc.subjectMatlab Simulation
dc.subjectMaximum Power Point Tracking MPPT
dc.subjectNARMA-L2 Control
dc.subjectPhotovoltaic Panel PV
dc.titleModeling and Simulation of A Photovoltaic Cell Module Controlled with Nonlinear Autoregressive Moving Average-L2 Controller
dc.typeConference Object

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