التفاصيل البيبلوغرافية
| العنوان: |
Design and implementation of a robust ANN-PID corrector to improve high penetrations photovoltaic solar energy connected to the grid. |
| المؤلفون: |
Daouda, Gueye, Alphousseyni, Ndiaye, Amadou, Diao |
| المصدر: |
Journal of Energy Systems; 2023, Vol. 7 Issue 1, p121-131, 11p |
| مصطلحات موضوعية: |
SOLAR energy, VOLTAGE references |
| مستخلص: |
The best quality of PV energy into the grid is now problematic that is why this paper focuses on the design and implementation of a robust Proportional Integral Derivative based on Artificial Neural Network (ANN-PID). This technique used to ensure the regulation of the Boost Converter (BC) output voltage and the Three Phase Inverter (3 PI) output currents of a photovoltaic solar system (PVS) connected to the grid. The mathematical model of the DC bus and the 3-PI is presented. Applications under Matlab/Simulink justify the efficiency of the neural regulator. In comparison with the conventional one, the proposed method presents the best follow-up of the DC link voltage reference and a maximum overshoot of 3.16 %. In addition, despite the long time put in transient mode, the proposed method keeps better robustness and ensures an injection of current of a total harmonic distortion (THD) of 0.96 % against 2.18 % of the classical PID regulator. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
