Modeling and Control Strategy for Grid-Tied Photovoltaic/Fuel Cell Hybrid System in Network Context
Résumé
Managing power converters is crucial for Photovoltaic (PV) and Fuel Cell (FC) hybrid power systems. This study develops a model and control strategy for a grid-tied hybrid system using the Takagi-Sugeno fuzzy model. The system includes a grid-connected PV/FC and power electronic converters to meet the electric load. First, the study presents the overall grid configuration with dynamic models for the PV, FC, and their power electronic interfaces. A fuzzy logic controller is designed for maximum power point tracking of the PV system. A PI controller manages the methane flow rate in the FC reformer. Additionally, a Nonlinear Fuzzy Converter Control (NFCC) scheme is developed for the grid-side converter connected to the DC-Link. Sufficient conditions are formulated as linear matrix inequalities. This NFCC controller enhances the converters' performance, allowing them to endure grid faults, maintain efficiency, and support the grid by regulating DC bus voltage. The control of the studied system is validated under grid fault conditions. Inverter control incorporates power support to meet network requirements, ensuring fault ride-through and stabilizing grid voltages. A case study of the system, simulated using MATLAB/Simulink, demonstrates the proposed control strategy. Results highlight the system's ability to handle various grid faults effectively.
Domaines
Sciences de l'ingénieur [physics]Origine | Fichiers produits par l'(les) auteur(s) |
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