Proposes a dynamic model to optimize maximum power in photovoltaic systems, suggesting important design improvements.
Traditional photovoltaic models are difficult to accurately characterize the relationship between maximum power and environmental and electrical parameters due to their strong nonlinearity and complex solutions. This study, based on a single-diode model and combined with standard data, proposes a multi-parameter dynamic coupling model that integrates irradiance, temperature, and shunt resistance. The accuracy of the model has been significantly improved, with current error less than ±0.4 % and power error less than ±1 %. It effectively clarifies the impact of multiple factors on maximum power and provides support for the optimized design of large-scale photovoltaic systems.
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Zhang et al. (2026) studied this question.
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