Research on heliostat field optimization model based on particle swarm optimization

Feiyang Ding; Rongjing Wang; Jiazheng Song; Yuxin Qian; Xiaohan Yang

doi:10.62051/mgdqnp62

Authors

Feiyang Ding
Rongjing Wang
Jiazheng Song
Yuxin Qian
Xiaohan Yang

DOI:

https://doi.org/10.62051/mgdqnp62

Keywords:

Euler Rotation Matrix; Particle Swarm Algorithm; Shadow Occlusion Efficiency.

Abstract

In the face of the global demand for carbon reduction, the construction of new energy power system has become the key. The traditional power system is facing the pressure of transformation, and the innovative application of new energy technology is imminent. This paper establishes an optimal design model for a heliostat mirror field, aiming at the efficient use of solar energy and the improvement of heat collection efficiency and performance. The model reduces power generation cost and enhances market competitiveness by optimising the layout and tracking strategy. The research results not only promote the development of solar thermal power generation technology, but also provide a reference for other new energy projects, which is of great significance to achieve the goal of carbon peak and carbon neutrality.

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