A nonlinear optimization model of heliostat mirror field layout based on adaptive chaotic particle swarm optimization

Yuxuan Duan; Chaochao Yan; Chengxin Gao; Yudong Rong

doi:10.1117/12.3031820

18 July 2024 A nonlinear optimization model of heliostat mirror field layout based on adaptive chaotic particle swarm optimization

Yuxuan Duan, Chaochao Yan, Chengxin Gao, Yudong Rong

Author Affiliations +

Proceedings Volume 13179, International Conference on Optics and Machine Vision (ICOMV 2024); 131790Z (2024) https://doi.org/10.1117/12.3031820
Event: International Conference on Optics and Machine Vision (ICOMV 2024), 2024, Nanchang, China

Abstract

In this paper, combined with the relevant professional knowledge of tower solar power station, a nonlinear optimization model is established through physical geometric equations, and the adaptive chaotic particle swarm optimization algorithm is used to solve the problem, and the solution obtains that the size of the heliostat mirror is 7m*7m, the installation height of the heliostat is 5m, the total number of heliostat mounts is 1271, and the annual average output power (MW) reaches the maximum of 59.42MV, in order to provide a reference for the layout optimization design of the heliostat field.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuxuan Duan, Chaochao Yan, Chengxin Gao, and Yudong Rong "A nonlinear optimization model of heliostat mirror field layout based on adaptive chaotic particle swarm optimization", Proc. SPIE 13179, International Conference on Optics and Machine Vision (ICOMV 2024), 131790Z (18 July 2024); https://doi.org/10.1117/12.3031820

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available