A Monte Carlo Enhanced PSO Algorithm for Optimization Design of Heliostat Field

Abstract

Tower solar thermal power generation technology is a new low-carbon and environmentally friendly clean energy technology. In this paper, based on Monte Carlo algorithm model and particle swarm optimization PSO algorithm, the optimization model of heliostatic mirror field is constructed, which is of great practical significance for effectively improving the collection and conversion efficiency of solar energy and promoting the sustainable development of clean energy.