Small and large signal modeling of heavy duty gas turbine plant for load frequency control

•Small signal model of heavy duty gas turbine plant has been developed.•This model is suitable for doing load frequency studies.•PID controller has been developed using Ziegler Nichols’, Simulated Annealing and Fuzzy Gain Scheduling. In this paper, the transfer function model of heavy duty gas turbi...

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Bibliographic Details
Published in:International journal of electrical power & energy systems 2016-07, Vol.79, p.84-88
Main Authors: Balamurugan, S., Janarthanan, N., Vijaya Chandrakala, K.R.M.
Format: Article
Language:English
Subjects:
Controllers
Frequency control
Fuzzy
Fuzzy Gain Scheduling
Gain scheduling
Gas turbine plant modeling
Gas turbines
PID controller
Power plants
Simulated Annealing
Tuning
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Summary:•Small signal model of heavy duty gas turbine plant has been developed.•This model is suitable for doing load frequency studies.•PID controller has been developed using Ziegler Nichols’, Simulated Annealing and Fuzzy Gain Scheduling. In this paper, the transfer function model of heavy duty gas turbine has been developed for doing load frequency control studies. Based on the large signal model of Rowen, small signal model has been developed. This model is much suitable for doing Automatic Generation Control. Proportional integral and derivative secondary controller has been developed for both the small and large signal models to improve the system response. Ziegler Nichols’ method, Simulated Annealing and Fuzzy Gain Scheduling have been used for tuning the secondary controller. Ziegler Nichols’ method is used as conventional tuning, whereas Simulated Annealing is a search based tuning and Fuzzy Gain Scheduling is adaptive. It is found that Simulated Annealing tuned Proportional Integral Derivative Controller yields better response than other two controllers in both large signal and small signal model of heavy duty gas turbine plant.
ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2016.01.001