Performance Comparison of Various Controllers for Load Frequency Control of Multi-Area Gas-thermal System

7 Pages Posted: 20 Mar 2019

See all articles by Debashish Bhowmik

Debashish Bhowmik

Tripura Institute of Technology Narsingarh - Electrical Engineering Department

Pushpa Gaur

Tripura Institute of Technology Narsingarh - Electrical Engineering Department

Sadhan Gope

Mizoram University

Subhojit Dawn

Siliguri Institute of Technology - Department of Electrical Engineering

Date Written: March 19, 2019

Abstract

Load frequency control (LFC) of an interconnected multi-area system with gas plant in Area-1 and thermal plants in Area-2 and Area-3 has been attempted in this work. The performance of Integral (I), Proportional-Integral (PI), Proportional-Integral-Derivative (PID) and Tilt-Integral-Derivative (TID) controllers are evaluated on the system taken for investigation. The application of Social spider optimization (SSO) is made in LFC for simultaneous optimization of the controller parameters. The gains of the controllers are optimized using SSO and the responses so obtained are compared. The comparisons between the responses obtained using TID, I, PI and PID reveal the better performance of TID controller in terms of settling time, peak deviation and magnitude of the oscillations. The study has been extended to the application of random load perturbation in place of step load. The comparison of the responses so obtained are compared which proves the better performance of TID over other controllers in the case of random variation of load as well. Another analysis has been carried out by using TID in one area and conventional I in other areas, and comparing the responses with I in all the areas reveal that the combination of TID and I gives better results.

Suggested Citation

Bhowmik, Debashish and Gaur, Pushpa and Gope, Sadhan and Dawn, Subhojit, Performance Comparison of Various Controllers for Load Frequency Control of Multi-Area Gas-thermal System (March 19, 2019). International Journal of Computational Intelligence & IoT, Vol. 2, No. 1, 2019. Available at SSRN: https://ssrn.com/abstract=3355304

Debashish Bhowmik (Contact Author)

Tripura Institute of Technology Narsingarh - Electrical Engineering Department ( email )

Agartala, Tripura Pin-79900
India

Pushpa Gaur

Tripura Institute of Technology Narsingarh - Electrical Engineering Department ( email )

Agartala, Tripura Pin-79900
India

Sadhan Gope

Mizoram University ( email )

Mizoram University
Tanhril
Aizawl, Mizoram 796001
India

Subhojit Dawn

Siliguri Institute of Technology - Department of Electrical Engineering ( email )

Siliguri, 734009
India

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