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Reference governor optimization and control of a distributed solar collector field


  • Cirre, Cristina M.
  • Berenguel, Manuel
  • Valenzuela, Loreto
  • Klempous, Ryszard


This paper describes the design and implementation of two-layer hierarchical control strategies for a distributed solar collector field, as well as representative experimental results in which the benefits of using this approach compared to current operations are highlighted. The upper layer of the hierarchical strategy was implemented using two different approaches, fuzzy logic and physical model-based optimization. Both calculate the optimal plant operating point automatically, taking operating constraints into account while maximizing profit from selling the electricity generated. The lower layer uses as setpoint the output generated by the upper layer to automatically track the operating point despite any disturbances affecting the plant.

Suggested Citation

  • Cirre, Cristina M. & Berenguel, Manuel & Valenzuela, Loreto & Klempous, Ryszard, 2009. "Reference governor optimization and control of a distributed solar collector field," European Journal of Operational Research, Elsevier, vol. 193(3), pages 709-717, March.
  • Handle: RePEc:eee:ejores:v:193:y:2009:i:3:p:709-717

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    Cited by:

    1. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    2. Chen, G.Q. & Yang, Q. & Zhao, Y.H. & Wang, Z.F., 2011. "Nonrenewable energy cost and greenhouse gas emissions of a 1.5Â MW solar power tower plant in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1961-1967, May.


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