Indian Journal of Science and Technology
DOI: 10.17485/ijst/2019/v12i30/140861
Year: 2019, Volume: 12, Issue: 30, Pages: 1-6
Original Article
Ali Abdyasser Kadhum* and Suham Abdulhussein Albderi
Al-Furat Al–Alawsat Technical University, 31003, Al-Kufa, Iraq; [email protected], [email protected]
*Author for correspondence
Ali Abdyasser Kadhum
Al-Furat Al–Alawsat Technical University, 31003, Al-Kufa, Iraq; [email protected]
Objectives: To derive suitable simulation model to improve the performance of PV cell. Methods/Statistical analysis: Artificial Neural Networks (ANN) is one of these techniques that applied to present important tasks encounter in Photovoltaic systems. This work presents a MATLAB-based modeling and simulation scheme suitable for studying the I–V and P–V characteristics of PV cell by Select and collect a data from PV panel for developing a simulink model in Matlab program with different values of the main parameters such as solar radiation, temperature. Findings: The results are illustrated the simulation model of PV cell with NARMA controller gave good agreement results which exhibit the advantages of using ANN techniques in Renewable Energy Systems. Application/Improvements: Artificial Intelligence technique (AI) plays an important role in various applications due to its capability of solved complex problem of systems.
Keyword: NARMA controller, Neural Networks, I-V and P-V characteristics, PV
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