1. Proceedings
  2. I3M
  3. 2018
  4. EMSS
  5. 10.46354/i3m.2018.emss.048

Fuzzy adaptation of intelligent control for solar thermal power plants

  • a Esko K. Juuso  
  • a ,Control Engineering, Faculty of Technology, FI-90014 University of Oulu, Finland
Cite as
Juuso E.K. (2018). Fuzzy adaptation of intelligent control for solar thermal power plants. Proceedings of the 30th European Modeling & Simulation Symposium (EMSS 2018), pp. 343-348. DOI: https://doi.org/10.46354/i3m.2018.emss.048

Abstract

Solar power plants can collect efficiently thermal energy in varying operating conditions by using linguistic equation (LE) controllers which extend the operation to varying cloudy and even heavy cloudy conditions and handle efficiently disturbances in energy demand in a wide operating range. The new solution includes advanced temperature control, working point based supervisory control and new fuzzy adaptation systems. The smooth operation in the allowed temperature range, including difficult situations, is extended to situations where the oscillation risks are so low that the working point area can be extended to use higher temperatures to optimize the energy collection. This has already been tested at the collector field in short periods in special cases where the working point was changed manually. Temporal reasoning is used for detecting early the changes of operating conditions. The new fuzzy approach introduces an additional level where also the working point is automatically constrained.

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