Back close

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

Publication Type : Journal Article

Publisher : International Journal of Electrical Power & Energy Systems

Source : International Journal of Electrical Power and Energy Systems, Vol.79, pp.84-88, July 2016.

Url : http://www.sciencedirect.com/science/article/pii/S0142061516000028

Keywords : Fuzzy gain scheduling, Gas turbine plant modeling, PID Controller, Simulated annealing

Campus : Coimbatore

School : School of Engineering

Department : Electrical and Electronics

Verified : Yes

Year : 2016

Abstract : 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.

Cite this Research Publication : S. Balamurugan, N.Janarthanan and K.R.M. VijayaChandrakala, “Small and large signal modeling of heavy duty gas turbine plant for load frequency control”, International Journal of Electrical Power and Energy Systems, Vol.79, pp.84-88, July 2016.

Admissions Apply Now