Under conditions of partial shading caused by cloud cover
dust accumulation
building obstructions
and vessel movement during navigation
photovoltaic arrays deployed on ship decks exhibit multi-peak characteristics in their power-voltage output curves. This renders traditional maximum power point tracking (MPPT) algorithms inadequate for optimal power extraction. To address this issue
this study proposes a hybrid MPPT control method combining improved frilled lizard optimization algorithm with variable step perturbation and observation method (IFLO-IP&O) for shipboard photovoltaic systems. The methodology involves three key innovations: First
the integration of non-standard Circle chaotic mapping
Lévy flight strategy
and triangular random walk strategy into the Frilled Lizard Optimization algorithm creates an enhanced global search capability to locate the neighborhood of the global maximum power point (GMPP). Second
a variable-step perturbation mechanism enables precise tracking of GMPP. Third
an adaptive switching logic seamlessly integrates these two algorithms into a unified framework
which is then applied to shipboard photovoltaic systems. Simulation results demonstrate that the proposed IFLO-IP&O hybrid method achieves superior performance in convergence speed
tracking accuracy
and oscillation suppression across various illumination scenarios.
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