Maiden application of bacterial foraging based fuzzy IDD controller in AGC of a multi-area hydrothermal system

This paper dealt with the automatic generation control of an unequal multi-area hydrothermal system. The performance of several classical controllers such as integral (I), proportional–integral (PI), proportional–integral–derivative (PID) and integral–double derivative (IDD) are compared, and it is found that IDD controller gives better performance over the other controllers. A maiden application of Bacterial Foraging (BF) optimized fuzzy integral–double derivative (FIDD) controller has been made in the system. Comparison of the dynamic responses of the system for FIDD and IDD reveals that FIDD controller gives better dynamic performance than the later. Sensitivity analysis has been performed to find the robustness of the FIDD controller for wide change in loading. Simultaneous optimization of IDD controller gains (KI and KD) and speed regulation parameters (R) by BF technique which surprisingly has not been attempted in the past for the system provides not only the best dynamic response for the system but also provides higher values of R, that will appeal for easier and cheaper realization of the governor.

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► A maiden application of BF based fuzzy IDD controller (FIDD) in AGC.
► Comparison of several classical controllers reveals that IDD controller is better.
► FIDD provides much better performance than IDD in 3-area hydrothermal system.
► FIDD set at nominal loading of 50% is quite robust for wide change in loading.
► Optimization of KIi, KDi and Ri yield better response and higher values of Ri.