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Identifying a simplified model for heavy duty gas turbine

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Author

Summary, in English

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.

Publishing year

2014

Language

English

Pages

2399-2408

Publication/Series

Journal of Mechanical Science and Technology

Volume

28

Issue

6

Document type

Journal article

Publisher

Springer

Topic

  • Energy Engineering

Keywords

  • Genetic algorithm
  • Heavy duty gas turbine
  • Least squares
  • Power
  • generation
  • System identification

Status

Published

ISBN/ISSN/Other

  • ISSN: 1738-494X