Design and implementation of a robust ANN-PID corrector to improve high penetrations photovoltaic solar energy connected to the grid-Reference-Cited by-同舟云学术

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

Published:2023-03-31 Issue:1 Volume:7 Page:121-131
ISSN:2602-2052
Container-title:Journal of Energy Systems
language:
Short-container-title:

Author:

GUEYE Daouda¹^ORCID,NDİAYE Alphousseyni¹^ORCID,DİAO Amadou²^ORCID

Affiliation:

1. Alioune Diop

2. Cheikh Anta Diop

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.

Publisher

Journal of Energy Systems

Subject

Management, Monitoring, Policy and Law,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

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