Floating photovoltaic (FPV) systems represent an important emerging form of solar energy utilization. However, power output becomes more complex when platforms move in dynamic water bodies, posing challenges to accurate prediction. Current studies lack clear theoretical explanations and experimental quantification of the coupling mechanisms between platform motion and photovoltaic power. To address this gap, a six‐degree‐of‐freedom motion simulation platform is used to systematically investigate how pitch amplitude (3°–12°), period (3.2–5.3 s), and irradiance (450–750 W m −2 ) influence FPV power fluctuations and generation loss. Results show that pitch amplitude dominates power variability. As amplitude increases from 3° to 12°, the coefficient of variation (CV) grows linearly (≈0.09% per degree), mean relative power fluctuation rises from 0.71% to 2.83%, and generation efficiency nonlinearly declines from 99.68% to 98.87%. Motion period mainly controls fluctuation frequency but minimally affects mean power or efficiency, with mean generation loss around 1.00% across the tested periods. Irradiance nonlinearly suppresses fluctuations. When increasing from 450 to 750 W m −2 , CV decreases from 1.64% to 1.05%, and mean relative fluctuation narrows from 4.50% to 2.83%. This work quantitatively characterizes pitch motion impacts and provides parameterized relationships for high‐accuracy FPV forecasting models.
Wu et al. (Wed,) studied this question.