Identifying a simplified model for heavy duty gas turbine
(2014) In Journal of Mechanical Science and Technology 28(6). p.2399-2408- Abstract
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4608706
- author
- Bahrami, Saeed ; Ghaffari, Ali ; Sadati, S. Hossein and Thern, Marcus LU
- organization
- publishing date
- 2014
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Genetic algorithm, Heavy duty gas turbine, Least squares, Power, generation, System identification
- in
- Journal of Mechanical Science and Technology
- volume
- 28
- issue
- 6
- pages
- 2399 - 2408
- publisher
- Springer
- external identifiers
-
- wos:000338119100045
- scopus:84902358136
- ISSN
- 1738-494X
- DOI
- 10.1007/s12206-014-0532-5
- language
- English
- LU publication?
- yes
- id
- bf48f4a2-2c0a-4ba0-ac12-5c75c1d99195 (old id 4608706)
- date added to LUP
- 2016-04-01 09:54:41
- date last changed
- 2022-02-09 20:48:15
@article{bf48f4a2-2c0a-4ba0-ac12-5c75c1d99195, abstract = {{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.}}, author = {{Bahrami, Saeed and Ghaffari, Ali and Sadati, S. Hossein and Thern, Marcus}}, issn = {{1738-494X}}, keywords = {{Genetic algorithm; Heavy duty gas turbine; Least squares; Power; generation; System identification}}, language = {{eng}}, number = {{6}}, pages = {{2399--2408}}, publisher = {{Springer}}, series = {{Journal of Mechanical Science and Technology}}, title = {{Identifying a simplified model for heavy duty gas turbine}}, url = {{http://dx.doi.org/10.1007/s12206-014-0532-5}}, doi = {{10.1007/s12206-014-0532-5}}, volume = {{28}}, year = {{2014}}, }