Single Objective Optimization of Heliostat Field Efficiency in Tower Power Plants Based on Monte Carlo Algorithm

This paper established a single objective nonlinear tower heliostat field optimization design model based on the principle of solar rays entering and exiting, coordinate transformation, etc. It uses traversal algorithm, improved Monte Carlo algorithm, improved particle swarm optimization algorithm, etc. to solve the problem, and finally obtains the relevant data parameters of the heliostat field. The paper introduces a shadow occlusion judgment matrix, which projects related heliostats onto the ground plane. Monte Carlo algorithm is used to scatter points onto the ground plane, eliminating random points affected by occlusion and shadow judgment matrix. This is used to calculate the efficiency of shadow occlusion, which has great reference value for designing and controlling heliostat fields.