Gas-Turbine Power-Plant Neural-Network Models for Synthesis and Tuning of Control Systems

This article discusses the possibility of using neural-network models of gas-turbine power plants for automatic tuning and synthesis of control systems. The considered neural-network models represent a gas-turbine plant and a synchronous generator as a single model of a gas-turbine power plant. The...

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Bibliographic Details
Published in:Russian electrical engineering 2022, Vol.93 (11), p.712-717
Main Authors: Kavalerov, B. V., Bakhirev, I. V., Kilin, G. A.
Format: Article
Language:English
Subjects:
Artificial neural networks
Control systems
Engineering
Gas turbines
Gas-fired power plants
Machines
Manufacturing
Processes
Synchronous machines
Synthesis
Tuning
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Summary:This article discusses the possibility of using neural-network models of gas-turbine power plants for automatic tuning and synthesis of control systems. The considered neural-network models represent a gas-turbine plant and a synchronous generator as a single model of a gas-turbine power plant. The rationale for the architecture of an artificial neural network is given, which, after training, is capable of reproducing the operation of gas-turbine power plants with various configurations of electric-power systems. The results of the application of a neural-network model of a gas-turbine power plant for automatic tuning of the free-turbine speed-control loop are presented. The results of mathematical modeling confirming the effectiveness of the method are presented.
ISSN:1068-3712
1934-8010
DOI:10.3103/S1068371222110050