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- W4327908880 abstract "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." @default.
- W4327908880 created "2023-03-21" @default.
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- W4327908880 date "2023-03-31" @default.
- W4327908880 modified "2023-10-05" @default.
- W4327908880 title "Design and implementation of a robust ANN-PID corrector to improve high penetrations photovoltaic solar energy connected to the grid" @default.
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- W4327908880 doi "https://doi.org/10.30521/jes.1053423" @default.
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