Optimization Design of Heliostat Field Based on Particle Swarm Optimization
DOI:
https://doi.org/10.54097/5wt9fj16Keywords:
Solid geometry model, multi-objective programming particle, swarm optimization algorithm.Abstract
This paper discusses the optimal design model of circular heliostat field, aiming at improving the efficiency of tower solar power station. By calculating the output efficiency of heliostat field, a multi-objective programming model is constructed and solved by particle swarm optimization algorithm to optimize the parameters of the tower solar power station. The research focuses on solving the shadow occlusion loss efficiency, cosine efficiency and truncation efficiency, as well as using MATLAB and Excel to process a large number of data. Finally, the annual average optical efficiency and output thermal power are obtained, and the parameters of the absorption tower and heliostat are designed under the condition of 60MW, so as to maximize the annual average output thermal power per unit mirror area.
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