Optimal Layout Problem for Fixed-Sun Mirror Field Based on Space Intersection and Particle Swarm Algorithm

The paper will introduce a comprehensive optimization method coupling spatial intersection and PSO for the optimal layout of heliostat mirror field. Heliostat mirror field is the most critical subsystem in the solar thermal power generation system, and its layout directly influences the optical efficiency and power generation performance of the system. But considering the mutual shading between heliostats, the problem of overlapping optical paths, and complexity of solar radiation, this becomes a difficult problem in high-dimensional space. In this regard, this paper adopts the method of spatial intersection to detect the occlusion and light path overlap of heliostats so as to ensure effective reflection of sunlight onto the target by each heliostat. Then, a global optimizing method for the arrangement of heliostats is given using the particle swarm algorithm. In order to reach the optimal solution for the optical efficiency of the system, this particle swarm algorithm emulates group intelligence to update positions in an iterative way. This approach can reduce the occlusion loss and improve the light utilization effectively through theoretical analysis and experimental verification. It can be seen from the result that the optimal design method of fixed sun mirror field configuration using spatial intersection and particle swarm algorithm is efficient in improving the overall performance of the solar thermal power generation system, providing the minimum shading and the maximum energy reception, which is an important reference in designing a mirror field for practical application.