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This paper analyzes hybrid maximum power point tracking (MPPT) algorithms for solar photovoltaic systems, highlighting their superiority over conventional methods in efficiency and convergence speed. It discusses various architectures, including dual-stage and mode-switching hybrids, and the integration of artificial intelligence to enhance tracking performance under dynamic conditions. The findings indicate that hybrid algorithms can achieve tracking efficiencies exceeding 99.5% and significantly improve e

Author

truparanicse

Language

EN