Study on the optimal layout of helioscope field based on genetic algorithm

Ziyue Song; Tingyu Yang; Siqi Li

doi:10.54097/0a8psq40

Authors

Ziyue Song
Tingyu Yang
Siqi Li

DOI:

https://doi.org/10.54097/0a8psq40

Keywords:

Heliostat field, Genetic algorithm, Simulated annealing method.

Abstract

The tower photovoltaic power plant particularly depends on the proper arrangement of the heliostat field, which is a crucial component of the tower solar power system and costs between 40% and 50% of the tower solar power plant's overall investment expenses. In this study, an optimization model is established under the restrictions of the heliostat mirror's size and placement parameters. Then, using numerical optimisation tools such as the simulated annealing algorithm and genetic algorithm, the layout of the heliostat field is repeatedly calculated in order to determine the ideal configuration for the heliostat field, which will maximize its yearly thermal power output. This paper has some significance in optimizing the layout of the heliostatic field.

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