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Coordinated control of concentrated solar power systems with indirect molten salt storage considering operation mode switching: Using switching model predictive control

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  • Wang, Jiaxing
  • Li, Yiguo
  • Zhang, Junli

Abstract

Concentrated solar power (CSP) systems, in conjunction with thermal energy storage (TES) systems, can deliver continuous and stable electricity even under intermittent solar irradiance. However, the integration of the TES increases the overall control difficulty of the CSP system, and the mode switching in the TES brings significant changes to the dynamics and control structure of the system. To overcome these detrimental factors, this paper proposes a coordinated control strategy based on switching model predictive control (SMPC) and uses approximate moving horizon estimation (MHE) algorithm to prevent severe fluctuations in state observations due to mode switching. The superiority of the coordinated SMPC strategy is demonstrated by comparison with a switching PID under cloudy conditions, where the maximum dynamic deviation and the root-mean-square error (RMSE) of the solar field outlet temperature, turbine power and main steam pressure are effectively reduced. For the case where the switching time is predetermined by the scheduling plan, an enhanced SMPC is further proposed by modifying the state space prediction equation using the switching time information. The enhanced SMPC reduces the maximum dynamic deviation and RMSE of the solar field outlet temperature by 3.02 °C and 0.73 °C during the TES mode switching.

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  • 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).
    • Handle: RePEc:eee:energy:v:268:y:2023:i:c:s0360544223000804
    DOI: 10.1016/j.energy.2023.126686
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    2. Xue, Xue & Liu, Xiang & Zhu, Yifan & Yuan, Lei & Zhu, Ying & Jin, Kelang & Zhang, Lei & Zhou, Hao, 2023. "Numerical modeling and parametric study of the heat storage process of the 1.05 MW molten salt furnace," Energy, Elsevier, vol. 282(C).

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