The present application relates to the field of
photovoltaic power generation, and more particularly to a double-sided photovoltaic tracking method and
system based on a
genetic algorithm. The method comprises: constructing a
basic data structure based on multi-
source data such as field
station geographic time parameters and
actuator constraint parameters; performing solar position and attitude geometric calculation to obtain solar geometric structure and candidate attitude geometric structure; inputting the solar geometric structure and the candidate attitude geometric structure into double-sided
irradiation calculation to obtain front effective
irradiation, back effective
irradiation and shading factor; performing temperature calculation and electrical output calculation to obtain a candidate attitude power sequence and an
energy index; performing fitness construction and feasible region
processing to obtain a fitness evaluator and a feasible region processor; performing
genetic algorithm calculation to output optimal strategy parameters and an angle curve, and generating a
target angle instruction. The present application can realize collaborative evaluation and constraint optimization output of geometric, irradiation and electrical links, effectively improving the availability and stability of control instruction generation.