| Issue |
E3S Web Conf.
Volume 601, 2025
The 3rd International Conference on Energy and Green Computing (ICEGC’2024)
|
|
|---|---|---|
| Article Number | 00086 | |
| Number of page(s) | 12 | |
| DOI | https://doi.org/10.1051/e3sconf/202560100086 | |
| Published online | 16 January 2025 | |
Study of the stability of a high-power PV conversion chain for isolated site supply
CERME (Centre d’Excellence Régional pour la Maîtrise de l’Electricité/ Laboratory of Research in Engineering Sciences (LARSI), Université de Lomé, Lomé, Togo
* Corresponding author: justinakoro@gmail.com
The aim of this paper is to design and study the stability of a 500 kW PV string connected to a DC-AC load. To achieve this, a MPPT method based on a hybrid Artificial Neural Network (ANN)-Synergistic Control Algorithm (SCA) already developed in the literature will be used to find the system's maximum power point. This control will enable the PV generator to deliver maximum energy. Next, the power control approach will be developed to control the inverter, and the stability of the overall system will be studied.
Key words: photovoltaic (PV) / artificial neural network / maximum power point (MPPT) / Synergic controller algorithm / stability
© The Authors, published by EDP Sciences, 2025
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