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Study on the dynamic characteristics, control strategies and load variation rates of the concentrated solar power plant

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  • Li, Gen
  • Du, Guanghan
  • Liu, Guixiu
  • Yan, Junjie

Abstract

As more and more wind power and photovoltaic power are connected to the electrical power system, it brings great challenges to the stability of power grid. Concentrated solar power (CSP) plant with thermal energy storage (TES) can undertake the task of load regulation and frequency regulation in power grid by balancing the electricity demand and generation. However, the maximum load variation rates of the CSP plant are not known, which restricts sufficient utilization of its advantages. In this study, a dynamic simulation model of CSP plant was built by using the APROS, and the dynamic characteristics were investigated by applying the step disturbances to molten salt flowrate, molten salt temperature, and the opening of steam regulating valve. Based on the results of dynamic characteristics, the control strategies were developed with the consideration of thermal storage in system and the feedforward signal of setting load and load variation rate. Then, the maximum load increase and reduction rates within different load ranges were studied. The results indicated that steam regulating valve, molten salt flowrate and molten salt temperature could be used to control turbine power, steam pressure and steam temperature, respectively. The designed control system could effectively follow the load variation with load deviation less than 0.3 MW and steam temperature deviation less than 1.2 °C in the condition of load variation rate at 3% Pe·min−1, which was superior to the conventional control strategy not considering the thermal storage in system. The maximum load increase and reduction rates were 11.57% Pe·min−1 and 8.94% Pe·min−1 within the load range of 75%THA-100%THA, and they were 10.42% Pe·min−1 and 7.46% Pe·min−1 within the load range of 50%THA-75%THA, respectively. The above load variation rates were first demonstrated for CSP plant, which could provide important guidance for plant operation in load regulation task and the load dispatching on grid side.

Suggested Citation

  • Li, Gen & Du, Guanghan & Liu, Guixiu & Yan, Junjie, 2024. "Study on the dynamic characteristics, control strategies and load variation rates of the concentrated solar power plant," Applied Energy, Elsevier, vol. 357(C).
    • Handle: RePEc:eee:appene:v:357:y:2024:i:c:s0306261923019025
    DOI: 10.1016/j.apenergy.2023.122538
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    1. Manenti, Flavio & Ravaghi-Ardebili, Zohreh, 2013. "Dynamic simulation of concentrating solar power plant and two-tanks direct thermal energy storage," Energy, Elsevier, vol. 55(C), pages 89-97.
    2. Li, Xiaolei & Xu, Ershu & Song, Shuang & Wang, Xiangyan & Yuan, Guofeng, 2017. "Dynamic simulation of two-tank indirect thermal energy storage system with molten salt," Renewable Energy, Elsevier, vol. 113(C), pages 1311-1319.
    3. Chanfreut, Paula & Maestre, José M. & Gallego, Antonio J. & Annaswamy, Anuradha M. & Camacho, Eduardo F., 2023. "Clustering-based model predictive control of solar parabolic trough plants," Renewable Energy, Elsevier, vol. 216(C).
    4. Zhang, Qiang & Jiang, Kaijun & Ge, Zhihua & Yang, Lijun & Du, Xiaoze, 2021. "Control strategy of molten salt solar power tower plant function as peak load regulation in grid," Applied Energy, Elsevier, vol. 294(C).
    5. Li, Lu & Li, Yinshi & Yu, Huajie & He, Ya-Ling, 2020. "A feedforward-feedback hybrid control strategy towards ordered utilization of concentrating solar energy," Renewable Energy, Elsevier, vol. 154(C), pages 305-315.
    6. Xiufan Liang & Yiguo Li, 2019. "Transient Analysis and Execution-Level Power Tracking Control of the Concentrating Solar Thermal Power Plant," Energies, MDPI, vol. 12(8), pages 1-17, April.
    7. Ferruzza, Davide & Kærn, Martin Ryhl & Haglind, Fredrik, 2020. "A method to account for transient performance requirements in the design of steam generators for concentrated solar power applications," Applied Energy, Elsevier, vol. 269(C).
    8. Xianhua Gao & Shangshang Wei & Chunlin Xia & Yiguo Li, 2022. "Flexible Operation of Concentrating Solar Power Plant with Thermal Energy Storage Based on a Coordinated Control Strategy," Energies, MDPI, vol. 15(13), pages 1-16, July.
    9. Wang, Anming & Liu, Jiping & Liu, Ming & Li, Gen & Yan, Junjie, 2019. "Dynamic modeling and behavior of parabolic trough concentrated solar power system under cloudy conditions," Energy, Elsevier, vol. 177(C), pages 106-120.
    10. Li, Xiaolei & Xu, Ershu & Ma, Linrui & Song, Shuang & Xu, Li, 2019. "Modeling and dynamic simulation of a steam generation system for a parabolic trough solar power plant," Renewable Energy, Elsevier, vol. 132(C), pages 998-1017.
    11. Wang, Jiaxing & Li, Yiguo & Zhang, Junli, 2023. "Coordinated control of concentrated solar power systems with indirect molten salt storage considering operation mode switching: Using switching model predictive control," Energy, Elsevier, vol. 268(C).
    12. Zhang, Qiang & Wang, Zhiming & Du, Xiaoze & Yu, Gang & Wu, Hongwei, 2019. "Dynamic simulation of steam generation system in solar tower power plant," Renewable Energy, Elsevier, vol. 135(C), pages 866-876.
    13. Yu, Qiang & Li, Xiaolei & Wang, Zhifeng & Zhang, Qiangqiang, 2020. "Modeling and dynamic simulation of thermal energy storage system for concentrating solar power plant," Energy, Elsevier, vol. 198(C).
    14. Zhang, Qiang & Cao, Donghong & Ge, Zhihua & Du, Xiaoze, 2020. "Response characteristics of external receiver for concentrated solar power to disturbance during operation," Applied Energy, Elsevier, vol. 278(C).
    15. Zhang, Qiang & Cao, Donghong & Jiang, Kaijun & Du, Xiaoze & Xu, Ershu, 2020. "Heat transport characteristics of a peak shaving solar power tower station," Renewable Energy, Elsevier, vol. 156(C), pages 493-508.
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