Dynamic performance simulation analysis method of split shaft gas turbine based on RBF neural network

In the operation of gas turbine unit, it often come across condition changes such as acceleration, deceleration and external drag effects. This will cause transient process of gas turbine system, which is of great significance to the dynamic performance simulation. This paper established dynamic sim...

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Bibliographic Details
Published inEnergy reports Vol. 7; pp. 947 - 958
Main Author Wu, Biying
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.11.2021
Elsevier
Subjects
RBF neural network
Simulation method
Split shaft gas turbine
RBF neural network
Split shaft gas turbine
Simulation method
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Summary:In the operation of gas turbine unit, it often come across condition changes such as acceleration, deceleration and external drag effects. This will cause transient process of gas turbine system, which is of great significance to the dynamic performance simulation. This paper established dynamic simulation model of different components in gas turbine unit, introduced several process methods of compressor characteristic curves, and finally the RBF neural network method is used. Through simulation test, the variation rule of each parameter can be obtained so as to improve the operation efficiency of the whole unit, which lay a foundation for further optimization study.
ISSN:2352-4847
2352-4847
DOI:10.1016/j.egyr.2021.09.178