The invention discloses a photovoltaic array design
simulation optimization method, and relates to the technical field of intelligent
photovoltaic system optimization, and the method comprises the steps: designing a photovoltaic array according to a herringbone shape, and constructing a photovoltaic array three-dimensional model; based on the photovoltaic array three-dimensional model, a computer domain and boundary conditions, multi-
physics field
coupling simulation setting is carried out; training a
machine learning model by using historical data, predicting interaction among different physical fields, and identifying a key region needing higher
grid density according to conditions set by multi-
physical field coupling simulation; dynamically adjusting the
grid density according to the identified key area; operating multi-
physics field
coupling simulation by using the adjusted
grid density, and evaluating the performance of the photovoltaic array; and adjusting the design scheme of the photovoltaic array according to the
evaluation result. According to the method, through herringbone design and multi-
physical field simulation, the grid is optimized in combination with
machine learning, the photovoltaic
array performance is comprehensively evaluated and improved, the photovoltaic technology innovation is promoted, and the cost is effectively reduced.