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Market-based clustering of model predictive controllers for maximizing collected energy by parabolic-trough solar collector fields

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  • Masero, Eva
  • Maestre, José M.
  • Camacho, Eduardo F.

Abstract

This article focuses on maximizing the thermal energy collected by parabolic-trough solar collector fields to increase the production of the plant. To this end, we propose a market-based clustering model predictive control strategy in which controllers of collector loops may offer and demand heat transfer fluid in a market. When a transaction is made between loop controllers, a coalition is formed, and the corresponding agents act as a single entity. The proposed hierarchical algorithm fosters the formation of coalitions dynamically to improve the overall control objective, increasing the thermal energy delivered by the field. Finally, the proposed controller is assessed via simulation with other control methods in two solar parabolic-trough fields. The results show that the energy efficiency with the clustering strategy outperforms by 12% that of traditional controllers, and the method is implementable in real-time to control large-scale solar collector fields, where significant gains in thermal collected energy can be obtained, due to its scalability.

Suggested Citation

  • Masero, Eva & Maestre, José M. & Camacho, Eduardo F., 2022. "Market-based clustering of model predictive controllers for maximizing collected energy by parabolic-trough solar collector fields," Applied Energy, Elsevier, vol. 306(PA).
  • Handle: RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921012459
    DOI: 10.1016/j.apenergy.2021.117936
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Velarde, Pablo & Gallego, Antonio J. & Bordons, Carlos & Camacho, Eduardo F., 2023. "Scenario-based model predictive control for energy scheduling in a parabolic trough concentrating solar plant with thermal storage," Renewable Energy, Elsevier, vol. 206(C), pages 1228-1238.
    2. Gholaminejad, Tahereh & Khaki-Sedigh, Ali, 2022. "Stable deep Koopman model predictive control for solar parabolic-trough collector field," Renewable Energy, Elsevier, vol. 198(C), pages 492-504.
    3. Sánchez-Amores, Ana & Martinez-Piazuelo, Juan & Maestre, José M. & Ocampo-Martinez, Carlos & Camacho, Eduardo F. & Quijano, Nicanor, 2023. "Coalitional model predictive control of parabolic-trough solar collector fields with population-dynamics assistance," Applied Energy, Elsevier, vol. 334(C).
    4. Lizárraga-Morazán, Juan Ramón & Picón-Núñez, Martín, 2023. "Optimal sizing and control strategy of low temperature solar thermal utility systems," Energy, Elsevier, vol. 263(PC).
    5. 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).

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