Identifying a simplified model for heavy duty gas turbine

被引:0
|
作者
Saeed Bahrami
Ali Ghaffari
S. Hossein Sadati
Marcus Thern
机构
[1] K.N. Toosi University of Technology,Department of Mechanical Engineering
[2] Lund University,Division of Thermal Power Engineering, Department of Energy Sciences
关键词
Genetic algorithm; Heavy duty gas turbine; Least squares; Power generation; System identification;
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摘要
A dynamic model was developed for long-term simulation of a heavy duty gas turbine. The model includes the essential control algorithm of the gas turbine as well as the most common outputs and other important intermediate variables. Control algorithm details, such as wind up protection and load limiter algorithm which have large effect on gas turbine transient behavior, are included. The model parameters are identified by applying genetic algorithm and least squares algorithm on regular operational data from a real plant to better match the model response to the real plant. The simulation results have been validated with real plant data and shown to have valid accuracy for many engineering applications.
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页码:2399 / 2408
页数:9
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