Enhancing Grid-Connected Photovoltaic Power System Performance Using Fuzzy P&O Approach
Solar energy solutions have become increasingly popular worldwide due to the growing need for renewable energy. This article presents a photovoltaic (PV) system connected to a three-phase power grid, modeled under varying climatic conditions. It consists of two conversion stages, a DC-DC Boost converter and a DC-AC inverter. The former uses a variable-step P&O based on fuzzy logic control to maximize the power of the photovoltaic panels, allowing for greater tracking accuracy than traditional P&O techniques. Inverters with phase-locked loop technology improve the performance of grid-connected PV systems by using a conventional PI controller that has a faster response. Using Matlab/Simulink environments, the entire system and control techniques are evaluated and verified. The simulation results confirm the effectiveness and robustness of the proposed system.
Authors
- El Ougli Abdelghani
- Z. Mohammed (ORCID: https://orcid.org/0000-0001-8056-4559)
- Talbi Kaoutar
- Tidhaf Belkacem
Institutions
- Mohamed I University (MA)
- Sidi Mohamed Ben Abdellah University (MA)
Publication Details
- Published
- 2025-10-14
- DOI
- https://doi.org/10.3390/engproc2025112025
- Primary Topic
- Photovoltaic System Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00