Performance Evaluation of Intelligent Controllers for AGC in Thermal Systems

In an interconnected power system, any sudden small
load perturbation in any of the interconnected areas causes the
deviation of the area frequencies, the tie line power and voltage
deviation at the generator terminals. This paper deals with the study
of performance of intelligent Fuzzy Logic controllers coupled with
Conventional Controllers (PI and PID) for Load Frequency Control.
For analysis, an isolated single area and interconnected two area
thermal power systems with and without generation rate constraints
(GRC) have been considered. The studies have been performed with
conventional PI and PID controllers and their performance has been
compared with intelligent fuzzy controllers. It can be demonstrated
that these controllers can successfully bring back the excursions in
area frequencies and tie line powers within acceptable limits in
smaller time periods and with lesser transients as compared to the
performance of conventional controllers under same load disturbance
conditions. The simulations in MATLAB have been used for
comparative studies.

• Muhammad Muhsin
• Abhishek Mishra
• Shreyansh Vishwakarma
• K. Dasaratha Babu
• Anudevi Samuel

• Area Control Error
• Fuzzy Logic
• Generation rate constraint
• Load Frequency
• Tie line Power.

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