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.
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Bertini, I., Pannicelli, A., Pizzuti, S. (2010). Fuzzy Optimization of Start-Up Operations for Combined Cycle Power Plants. In: Corchado, E., Novais, P., Analide, C., Sedano, J. (eds) Soft Computing Models in Industrial and Environmental Applications, 5th International Workshop (SOCO 2010). Advances in Intelligent and Soft Computing, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13161-5_20
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DOI: https://doi.org/10.1007/978-3-642-13161-5_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13160-8
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