Performance analysis of optimally tuned 2DOF-PID controller for Automatic Load Frequency Control

Authors(2) :-Nivedita G R, Kamaraj N

In a Power system, if the load varies the frequency of the generator also varies. Automatic load frequency control plays a major role in maintaining the frequency constant. Various controllers like PI, PID and 2DOF-PID are used for controlling the load frequency in power system. Two degree of Freedom Controller optimized by Particle Swarm Optimization will help to adjust the generator frequency to ensure stable and efficient response due to sudden changes in load. The single area power system consisting of non-reheat thermal power plants with 2DOF-PID controller has been considered for design and analysis. The gains of the 2DOF-PIDcontroller is optimized by the particle swarm optimization to have a better dynamic performance, to reject the load disturbance , to improve the robustness and also to reduce the Integral Time Absolute Error which is caused due to sudden changes in load demand.

Authors and Affiliations

Nivedita G R
Electrical and Electronics Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India
Kamaraj N
Electrical and Electronics Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India

Automatic load frequency control; Transient stability; Two Degree of freedom; Particle Swarm Optimization; Dynamic performance; parameter uncertainties; performance index; steady state error; Integral time absolute error

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 23-29
Manuscript Number : ICASCT2505
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Nivedita G R, Kamaraj N, " Performance analysis of optimally tuned 2DOF-PID controller for Automatic Load Frequency Control, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 5, pp.23-29, May-June-2017. Available at doi : 10.32628/ICASCT2505
Journal URL : http://ijsrst.com/ICASCT2505

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