Design and implementation of a robust ANN-PID corrector to improve high penetrations photovoltaic solar energy connected to the grid

Year 2023, Volume: 7 Issue: 1, 121 - 131, 31.03.2023

Daouda Gueye , Alphousseyni Ndiaye , Amadou Diao

https://doi.org/10.30521/jes.1053423

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.

Keywords

DC bus, PVS, Robust ANN-PID, THD

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