This study proposes a photovoltaic substation engineering site selection and line planning method based on intelligent algorithms to improve complex site selection areas' planning efficiency and scientificity. This method comprehensively utilizes unmanned aerial vehicle oblique photography, multi-objective genetic algorithm, differential evolution algorithm, and adaptive algorithm. Integrating advanced technology and optimization algorithms achieves efficient and accurate substation site selection and line planning. A multi-objective optimization model is proposed by collecting geographic info...
