研究目的
Investigating the performance of a single-phase inverter coupled to the grid in terms of optimal photovoltaic transfer, using sliding-mode variable structure systems and a fuzzy logic control technique optimized by genetic algorithm (GA) for Maximum Power Point Tracking (MPPT).
研究成果
The proposed control strategies, including the optimized FL-MPPT controller by GA and the sliding mode controller for grid current control, demonstrate superior performance under variations in solar irradiance levels and system parameters. The simulations results show that these controllers are simple and effective for optimal photovoltaic transfer.
研究不足
The study is based on simulation results using Matlab/Simulink software, and real-world implementation may present additional challenges not covered in the simulation.
1：Experimental Design and Method Selection:
The study employs sliding-mode variable structure systems and a fuzzy logic control technique optimized by genetic algorithm (GA) for MPPT.
2：Sample Selection and Data Sources:
The system consists of a PV generator, input capacitor, DC/DC boost converter, single phase DC/AC converter, filter inductor L, and grid voltage Vg.
3：List of Experimental Equipment and Materials:
PV generator, DC/DC boost converter, single phase DC/AC converter, filter inductor L, and grid voltage Vg.
4：Experimental Procedures and Operational Workflow:
The system is simulated under different environmental and operating conditions using Matlab/Simulink software.
5：Data Analysis Methods:
The performance of the proposed control strategies is verified through simulation results.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
