Niklas Andersson
Lund University, Department of Chemical Engineering, Lund, Sweden
Johan Åkesson
Lund University, Department of Automatic Control, Lund, Sweden/Modelon AB, Lund, Sweden
Kilian Link
Siemens AG, Erlangen, Germany
Stephanie Gallardo Yances
Siemens AG, Erlangen, Germany
Karin Dietl
Siemens AG, Erlangen, Germany
Bernt Nilsson
Lund University, Department of Chemical Engineering, Lund, Sweden
Ladda ner artikel
http://dx.doi.org/10.3384/ecp14096809Ingår i: Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Linköping Electronic Conference Proceedings 96:84, s. 809-818
Publicerad: 2014-03-10
ISBN: 978-91-7519-380-9
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
A combined cycle power plant are modelled and considered for calibration. The dynamic model; aimed for start-up optimization; contains 64 candidate parameters for calibration. The number of parameter sets that can be created are huge and an algorithm called subset selection algorithm is used to reduce the number of parameter sets. The algorithm investigates the numerical properties of a calibration from a parameter Jacobean estimated from a simulation of the model with reasonably chosen parameter values. The calibrations were performed with a Levenberg-Marquardt algorithm considering the least squares of eight output signals. The parameter value with the best objective function value resulted in simulations in good compliance to the process dynamics. The subset selection algorithm effectively shows which parameters that are important and which parameters that can be left out.
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