HELIOSTAT FIELD LAYOUT OPTIMIZATION OF SOLAR TOWER POWER STATION BASED ON IMPROVED WHALE ALGORITHM

Gao Bo; Sun Hao; Liu Sheng

doi:10.19912/j.0254-0096.tynxb.2022-0973

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (10) : 209-217. DOI: 10.19912/j.0254-0096.tynxb.2022-0973

HELIOSTAT FIELD LAYOUT OPTIMIZATION OF SOLAR TOWER POWER STATION BASED ON IMPROVED WHALE ALGORITHM

Gao Bo, Sun Hao, Liu Sheng

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Abstract

Aiming at the optimization of heliostat layout in solar tower power generation system, an optical efficiency model of heliostat field in solar tower power station is established based on eliminate blocking （EB） layout model. The efficiency calculation of heliostat field with the same coordinate data as SolarPILOT proves the accuracy of the modeling of optical efficiency. By adding Kent mapping during population initialization, adding dynamic double subgroup convergence factor, adaptive elite non-uniform mutation strategy, and adaptive inertia weight in the iterative process, the hybrid strategy whale optimization algorithm is obtained. At the same time, non-dominated sorting and crowding calculation are introduced to make the algorithm suitable for multi-objective optimization problems. Finally, the key parameters （azimuth spacing factor and azimuth spacing reset limit factor） in EB layout are optimized with single target and double target respectively in combination with Gemasolar power plant data, and the optimal layout scheme is obtained.

Key words

solar tower power station / heliostat field / whale optimization algorithm / optical efficiency / optimized layout

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Gao Bo, Sun Hao, Liu Sheng. HELIOSTAT FIELD LAYOUT OPTIMIZATION OF SOLAR TOWER POWER STATION BASED ON IMPROVED WHALE ALGORITHM[J]. Acta Energiae Solaris Sinica. 2023, 44(10): 209-217 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0973

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