Optimized Design of Heliostat Layout Based on Particle Swarm Algorithm

• Published in: 2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT) pp. 1010 - 1014
• Main Authors: Yu, He, Dong, Qing
• Format: Conference Proceeding
• Language: English
• Published: IEEE 26.04.2024
• Subjects: Analytical models; Computational modeling; Deformable models; Hafnium; heliostat field; Layout; mathematical optimization model; Mirrors; particle swarm optimization; Sensitivity analysis
• DOI: 10.1109/ICCECT60629.2024.10546127

Its core components are the heliostat mirror field and collector. In this paper, an optimization model based on particle swarm algorithm is proposed for the design of heliostat mirror field, aiming to maximize the annual average output thermal power per unit mirror area under the condition of satisfying the rated power. This paper first establishes an accurate method for calculating the solar altitude angle, solar azimuth angle and normal direct radiant irradiance, and uses these data to calculate the optical efficiency and output thermal power of the heliostat mirror field. Then, this paper adopts the particle swarm algorithm, which considers the heliostat as a particle and searches for the optimal solution by adjusting the parameters such as the position, size, and mounting height of the particle. In this paper, the masking loss, truncation efficiency, cosine efficiency and other factors between the fixed-sun mirrors are also taken into account, and the sensitivity analysis is carried out. Finally, the effectiveness of the method in this paper is verified by experiments and compared with existing methods.