Optimal Design of Heliostat Field Power Based on Whale Optimization Algorithm and Gravitational Search Algorithm
DOI:
https://doi.org/10.54097/jceim.v11i3.11Keywords:
Optical Efficiency, Optimal Fixed-sun Mirror Field, Whale Optimization Algorithm, Gravitational Search AlgorithmAbstract
With the deterioration of global climate and the worsening of energy crisis, the construction of a new power system mainly based on new energy is an important measure for China to realize the goal of "carbon peak" and "carbon neutrality". In order to maximize the power generation efficiency of the mirror field, the layout design of the heliostat is particularly important. In this paper, we constructed a model to calculate each optical efficiency loss component, cosine efficiency, atmospheric transmittance, and discretized the points on the heliostat, and calculated the shadow masking efficiency by coordinate transformation, and finally obtained the collector truncation efficiency. Next, the optimal design of the heliostat field in different cases is obtained using the whale optimization algorithm and the gravitational search algorithm.
References
SUN Hao ,GAO Bo,LIU Jianxing. Research on the layout of fixed-sun mirror field of tower solar power station[J]. Power Generation Technology,2021,42(06):690-698.
ZHANG Fengling, CHEN Yanghua, CHEN Weihu et al. Application of digital technology in the construction of large-scale heliostats for photovoltaic power plants[J]. Building Construction,2022,44(02):387-389.
DOI:10.14144/j.cnki.jzsg.2022.02.057.
Gao B, Liu JX,Sun H et al. Optimal arrangement of heliostat mirror field based on adaptive gravitational search algorithm[J]. Journal of Solar Energy,2022,43(10):119-125.
DOI:10.19912/j.0254-0096.tynxb.2021-0397.
Liu YG, Zhao ZZ,Ma YZ et al. Active wake control strategy for tandem wind turbines based on whale optimization algorithm[J/OL]. Chinese Journal of Electrical Engineering:1-9 [2023-10-03].
https://doi.org/10.13334/j.0258-8013.pcsee.222567.
B. Xue, S.D. Zhang,J. Ren et al. Optimization of renewable energy bidding and consumption in power market environment based on improved gravity search algorithm[J]. Renewable Energy, 2023, 41(06):845-852.
DOI:10.13941/j.cnki.21-1469/tk.2023.06.018.