Abstract
In view of the high cost of power generation and the shortcomings of scale and industrialization of dish-Stirling optical thermal power station, the NSGA-II algorithm is proposed to optimize and analyze levelized cost of energy for dish solar thermal power generation system. The capacity and cost model of dish-Stirling thermal power generation system is established, and the influence of power station capacity, thermal storage medium and thermal storage time on the levelized cost of energy is analyzed by using NSGA-II genetic algorithm and particle swarm optimization. The results show that the larger the scale of power generation, the lower the levelized cost of energy, and the thermal storage medium and the thermal storage time have a greater impact on the levelized cost of energy.
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Acknowledgment
The authors would like to thank the National Natural Science Foundation of China (61867003, 61263004 and 51867012) for financial support.
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Dang, G., Su, H., Yue, B. (2020). Levelized Cost of Energy Optimization Method for the Dish Solar Thermal Power Generation System. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham. https://doi.org/10.1007/978-3-030-32456-8_14
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DOI: https://doi.org/10.1007/978-3-030-32456-8_14
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