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Fuzzy Optimization of Start-Up Operations for Combined Cycle Power Plants

  • Ilaria Bertini
  • Alessandro Pannicelli
  • Stefano Pizzuti
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 73)

Abstract

In this paper we present a study on the application of fuzzy sets for the start-up optimisation of a combined cycle power plant. We fuzzyfy the output process variables and then we properly combine the resulting fuzzy sets in order to get a single value in the lattice [0,1] providing the effectiveness (zero bad, one excellent) of the given start-up regulations. We tested the methodology on a large artificial data set and we found an optimum which remarkably improves the solution given by the process experts.

Keywords

Steam Turbine Model Predictive Control Fuzzy Optimization Combine Cycle Power Plant Model Predictive Control Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Ilaria Bertini
    • 1
  • Alessandro Pannicelli
    • 1
  • Stefano Pizzuti
    • 1
  1. 1.Energy, New technologies and sustainable Economic development Agency (ENEA) ‘Casaccia’ R.C.RomeItaly

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