Modeling and Simulation of A Photovoltaic Cell Module Controlled with Nonlinear Autoregressive Moving Average-L2 Controller
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Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Access Rights
info:eu-repo/semantics/openAccess
Abstract
The 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)
Description
Uzun, Yunus ( Aksaray, Yazar )
Keywords
Artificial Neural Networks Technique ANN, Matlab Simulation, Maximum Power Point Tracking MPPT, NARMA-L2 Control, Photovoltaic Panel PV
Journal or Series
2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020
WoS Q Value
Scopus Q Value
N/A
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Issue
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